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index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>image features</title>
<style>
body {
font-family: "Lato", sans-serif;
}
.sidenav {
height: 100%;
width: 0;
position: fixed;
z-index: 1;
top: 0;
left: 0;
background-color: #555555ee;
overflow-x: hidden;
transition: 0.5s;
padding-top: 60px;
}
.sidenav a {
padding: 8px 8px 8px 32px;
text-decoration: none;
font-size: 25px;
color: #818181;
display: block;
transition: 0.3s;
}
.sidenav a:hover {
color: #f1f1f1;
}
.sidenav .closebtn {
position: absolute;
top: 0;
right: 25px;
color: #ccc;
font-size: 36px;
margin-left: 50px;
}
@media screen and (max-height: 450px) {
.sidenav {padding-top: 15px;}
.sidenav a {font-size: 18px;}
}
.sidenavtext{
color: #F386FF;
}
.btnelement:hover {
cursor: pointer;
}
#sponsorspan{
text-decoration: none;
background-color: #eee;
//width: 300px;
border: 2px solid;
padding: 2px;
margin: 2px;
border-radius: 5px;
}
a:link {
text-decoration: none;
}
a:visited {
text-decoration: none;
}
</style>
</head>
<body>
<div id="mySidenav" class="sidenav">
<a href="javascript:void(0)" class="closebtn" onclick="closeNav()">×</a>
<br>
<span class="sidenavtext" >Webcam:</span><br>
<select id="whichcam">
<option value="0">back cam</option>
<option value="1">front cam</option>
</select>
</div>
<span style="font-size:25px;cursor:pointer" onclick="openNav()">☰ </span>
<select id="pickeffect">
<option value="1">RGB Original</option>
<option value="58">LBP feature</option>
<option value="59">LGP feature</option>
<option value="60">LTP feature</option>
<option value="61">RankTransform</option>
<option value="62">TS0 LocalPattern</option>
<option value="63">TS1 LocalPattern</option>
<option value="64">STS LocalPattern</option>
<option value="65">STU LocalPattern</option>
<option value="66">MTS LocalPattern</option>
<option value="67">ILBP LocalPattern</option>
<option value="68">MBP LocalPattern</option>
<option value="69">CSLBP LocalPattern</option>
<option value="70">CBP LocalPattern</option>
<option value="71">CCR LocalPattern</option>
<option value="72">ILTP LocalPattern</option>
<option value="73">CLBP C & M LocalPattern</option>
<option value="74">LQP LocalPattern</option>
<option value="75">BGC LocalPattern</option>
<option value="76">GLBP LocalPattern</option>
<option value="77">HOG Descriptor</option>
<option value="78">Harris CornerDetection</option>
<option value="79">FAST_Descriptor</option>
</select>
<input type="button" id="StartCam" value="StartCam" class="btnelement" onclick="StartCam()">
<input type="button" id="StopCam" value="StopCam" class="btnelement" onclick="StopCam()">
<input type="button" id="CaptureImg" value="Capture" class="btnelement" onclick="downloadCanvasImage()">
<input type="button" id="RefreshImg" value="Refresh" class="btnelement" onclick="RefreshCanvasImage()">
<input type="file" class="btnelement" id="file_input">
<input type="button" value="upload" id="file_button" class="btnelement" onclick="getFileInput()">
<input type="checkbox" id="check_1" name="check_1" value="1" class="btnelement" checked onclick="check_1()"><label for="check_1"> display original </label>
<input type="checkbox" id="check_2" name="check_2" value="1" class="btnelement" checked="" onclick="check_2()"><label for="check_2"> sub inputs </label>
<a href="https://github.com/sponsors/prasanthcodes"><span id="sponsorspan"><img width=13em height=13em src="data:image/png;base64,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">Sponsor</span></a>
<br>
<div id='subinputs'></div>
<br>
<img id="myimage">
<video class="player2 vsc initialized"></video>
<div class="container">
<canvas class="photo"></canvas>
<canvas id="obj" width="256" height="256"></canvas>
</div>
<script>
var MediaStream=null;
var ccnt=0;
let intervalID = null;
var width = 1;
var height = 1;
var CurrentInputType=0;//1-video,2-image
var InputFieldsAll=new Array(10);
var jsloadedflag = false;
var is_cv_loaded=false;
var framecount=0;
var effect_name='';
var camchoices=["environment","user"];
var currentcam=camchoices[0];
const fnnames={
'1':'rgbOriginal',
'58':'LBP_LocalPattern',
'59':'LGP_LocalPattern',
'60':'LTP_LocalPattern',
'61':'RT_LocalPattern',
'62':'TS0_LocalPattern',
'63':'TS1_LocalPattern',
'64':'STS_LocalPattern',
'65':'STU_LocalPattern',
'66':'MTS_LocalPattern',
'67':'ILBP_LocalPattern',
'68':'MBP_LocalPattern',
'69':'CSLBP_LocalPattern',
'70':'CBP_LocalPattern',
'71':'CCR_LocalPattern',
'72':'ILTP_LocalPattern',
'73':'CLBP_C_M_LocalPattern',
'74':'LQP_LocalPattern',
'75':'BGC_LocalPattern',
'76':'GLBP_LocalPattern',
'77':'HOG_Descriptor',
'78':'Harris_Descriptor',
'79':'FAST_Descriptor',
};
const video = document.querySelector('.player2');
const canvas = document.querySelector('.photo');
const ctx = canvas.getContext('2d');
var input_1 = document.getElementById("file_input");
var myimage = document.getElementById("myimage");
var div_1 = document.getElementById("subinputs");
var element = document.getElementById("pickeffect");
var eleval1=element.value;
//if ((Math.floor(eleval1)==90)&&(is_cv_loaded==false)) {
//loadcv2_module();
//}
currentEffect=window[fnnames[eleval1]];
var effect_name=currentEffect.name;
element.onchange=function(){
var eleval1=element.value;
//if ((Math.floor(eleval1)==90)&&(is_cv_loaded==false)) {
//loadcv2_module();
//}
currentEffect=window[fnnames[eleval1]];
effect_name=currentEffect.name;
set_subinputs();
if (CurrentInputType==1){
paintToCanvas(currentEffect);
}
if (CurrentInputType==2) {
paint2();
}
}
var element2 = document.getElementById("whichcam");
element2.onchange=function(){
currentcam=camchoices[element2.value];
getCamVideo(currentcam);
video.addEventListener('canplay', function () { paintToCanvas(currentEffect) });
}
var element3 = document.getElementById("check_1");
var element4 = document.getElementById("check_2");
set_subinputs();
function openNav() {
document.getElementById("mySidenav").style.width = "250px";
}
function closeNav() {
document.getElementById("mySidenav").style.width = "0";
}
const AutoDownload = (dataUrl, filename) => {
const link = document.createElement("a");
link.href = dataUrl;
link.download = filename;
link.click();
};
function loadJs(url, cb) {
var script = document.createElement('script');
script.setAttribute('src', url);
script.setAttribute('type', 'text/javascript');
jsloadedflag = false;
var loadFunction = function () {
if (jsloadedflag) return;
jsloadedflag = true;
cb();
};
script.onload = loadFunction;
script.onreadystatechange = loadFunction;
document.getElementsByTagName("head")[0].appendChild(script);
};
function factorial(n) {
loadJs('functions.js', function() {
factorial(n);
});
}
function loadcv2_module(){
var cvsrc='https://docs.opencv.org/3.4.0/opencv.js';
loadJs(cvsrc, function() {});
is_cv_loaded=jsloadedflag;
}
function downloadCanvasImage(){
var tmpimg = canvas.toDataURL("image/png");
let today = new Date().toISOString().replaceAll(':','-').replaceAll('.','-');
filename="canvas_"+today+".png";
AutoDownload(tmpimg,filename);
}
function RefreshCanvasImage(){
if (CurrentInputType==1){
paintToCanvas(currentEffect);
}
if (CurrentInputType==2) {
paint2();
}
}
function set_subinputs(){
div_1.innerHTML = "";
if (effect_name=='LTP_LocalPattern'){
div_1.appendChild(document.createTextNode("T Value:"));
var inp1 = document.createElement("input");
inp1.value='3'
div_1.appendChild(inp1);
div_1.appendChild(document.createTextNode("Lower(0) or Upper(1):"));
var inp2 = document.createElement("input");
inp2.value='0'
div_1.appendChild(inp2);
InputFieldsAll=[inp1,inp2];
}
if (effect_name=='TS1_LocalPattern'){
div_1.appendChild(document.createTextNode("T Value:"));
var inp1 = document.createElement("input");
inp1.value='5'
div_1.appendChild(inp1);
InputFieldsAll=[inp1];
}
if (effect_name=='STU_LocalPattern'){
div_1.appendChild(document.createTextNode("T Value:"));
var inp1 = document.createElement("input");
inp1.value='3'
div_1.appendChild(inp1);
div_1.appendChild(document.createTextNode("horizontal&vertical(0) or Diagonal(1):"));
var inp2 = document.createElement("input");
inp2.value='0'
div_1.appendChild(inp2);
InputFieldsAll=[inp1,inp2];
}
if (effect_name=='CSLBP_LocalPattern'){
div_1.appendChild(document.createTextNode("T Value:"));
var inp1 = document.createElement("input");
inp1.value='3'
div_1.appendChild(inp1);
InputFieldsAll=[inp1];
}
if (effect_name=='CBP_LocalPattern'){
div_1.appendChild(document.createTextNode("T Value:"));
var inp1 = document.createElement("input");
inp1.value='3'
div_1.appendChild(inp1);
InputFieldsAll=[inp1];
}
if (effect_name=='ILTP_LocalPattern'){
div_1.appendChild(document.createTextNode("T Value:"));
var inp1 = document.createElement("input");
inp1.value='3'
div_1.appendChild(inp1);
div_1.appendChild(document.createTextNode("Lower(0) or Upper(1):"));
var inp2 = document.createElement("input");
inp2.value='0'
div_1.appendChild(inp2);
InputFieldsAll=[inp1,inp2];
}
if (effect_name=='CLBP_C_M_LocalPattern'){
div_1.appendChild(document.createTextNode("CLBP-C(0) CLBP-M(1):"));
var inp1 = document.createElement("input");
inp1.value='0'
div_1.appendChild(inp1);
InputFieldsAll=[inp1];
}
if (effect_name=='LQP_LocalPattern'){
div_1.appendChild(document.createTextNode("TValue 1:"));
var inp1 = document.createElement("input");
inp1.value='3'
div_1.appendChild(inp1);
div_1.appendChild(document.createTextNode("TValue 2:"));
var inp2 = document.createElement("input");
inp2.value='6'
div_1.appendChild(inp2);
div_1.appendChild(document.createTextNode("LQP-2(0), LQP-1(1), LQP+1(2), LQP+2(3):"));
var inp3 = document.createElement("input");
inp3.value='0'
div_1.appendChild(inp3);
InputFieldsAll=[inp1,inp2,inp3];
}
if (effect_name=='BGC_LocalPattern'){
div_1.appendChild(document.createTextNode("BGC1(0), BGC2_1(1), BGC2_2(2), BGC3(3):"));
var inp1 = document.createElement("input");
inp1.value='0'
div_1.appendChild(inp1);
InputFieldsAll=[inp1];
}
if (effect_name=='HOG_Descriptor'){
div_1.appendChild(document.createTextNode("GradientX(0), GradientY(1), Magnitude(2), Orientation(3), HOG(4):"));
var inp1 = document.createElement("input");
inp1.value='0'
div_1.appendChild(inp1);
div_1.appendChild(document.createTextNode("Cellsize:"));
var inp2 = document.createElement("input");
inp2.value='15'
div_1.appendChild(inp2);
div_1.appendChild(document.createTextNode("Binsize:"));
var inp3 = document.createElement("input");
inp3.value='6'
div_1.appendChild(inp3);
InputFieldsAll=[inp1,inp2,inp3];
}
check_2();
}
function reset_all(){
CurrentInputType=0;
video.src = "";
video.controls = false;
video.srcObject = null;
video.style.display="none";
clearInterval(intervalID);
if (MediaStream!=null) MediaStream.stop();
myimage.style.display="none";
myimage.src="";
ctx.clearRect(0, 0, canvas.width, canvas.height);
}
function getFileInput() {
const file=input_1.files[0];
const fileType = file['type'];
const validImageTypes = ['image/gif', 'image/jpeg', 'image/png'];
var URL = window.webkitURL || window.URL;
var url = URL.createObjectURL(file);
if (validImageTypes.includes(fileType)) {
reset_all();
CurrentInputType=2;
framecount=0;
//myimage.style.display="initial";
check_1();
myimage.src=url;
myimage.onload = function() {
paint2();
}
} else {
reset_all();
CurrentInputType=1;
framecount=0;
video.src = url;
video.controls = true;
video.style.display="initial";
video.addEventListener('canplay', function () { paintToCanvas(currentEffect) });
video.play();
}
}
function paint2(){
width = myimage.width;
height = myimage.height;
//alert(width+'x'+height)
canvas.width = width;
canvas.height = height;
effect_name=currentEffect.name;
ctx.drawImage(myimage, 0, 0, width, height);
let pixels = ctx.getImageData(0, 0, width, height);
pixels = currentEffect(pixels);
ctx.putImageData(pixels, 0, 0);
}
function getCamVideo(currentcam) {
navigator.mediaDevices.getUserMedia({ video: {facingMode: currentcam}, audio: false })
.then(localMediaStream => {
MediaStream=localMediaStream;
MediaStream.stop = function () {
this.getAudioTracks().forEach(function (track) {
track.stop();
});
this.getVideoTracks().forEach(function (track) { //in case... :)
track.stop();
});
};
video.src = "";
video.controls = false;
video.srcObject = localMediaStream;
video.play();
})
.catch(err => {
console.error('OH OH!', err);
});
}
function paintToCanvas(effect) {
if (intervalID !== null) {
clearInterval(intervalID);
}
width=video.videoWidth;
height=video.videoHeight;
canvas.width = width;
canvas.height = height;
effect_name=effect.name;
function paintWithEffect() {
ctx.drawImage(video, 0, 0, width, height);
let pixels = ctx.getImageData(0, 0, width, height);
framecount+=1;
pixels = effect(pixels);
ctx.putImageData(pixels, 0, 0);
}
intervalID = setInterval(paintWithEffect, 30);
}
function StartCam(){
reset_all();
check_1();
check_2();
CurrentInputType=1;
framecount=0;
getCamVideo(currentcam);
video.addEventListener('canplay', function () { paintToCanvas(currentEffect) });
}
function StopCam(){
reset_all();
CurrentInputType=0;
}
function check_1(){
if (element3.checked) {
video.style.display="initial";
myimage.style.display="initial";
} else {
video.style.display="none";
myimage.style.display="none";
}
}
function check_2(){
if (element4.checked) {
div_1.style.display="initial";
} else {
div_1.style.display="none";
}
}
function rgbOriginal(pixels) {
//console.log('total:',pixels.data.length,'width:',video.videoWidth,'height:',video.videoHeight)
return pixels;
}
function rgb2gray(pixels) {
//console.log('total:',pixels.data.length,'width:',video.videoWidth,'height:',video.videoHeight)
for (let i = 0; i < pixels.data.length; i += 4) {
var gray=Math.floor(0.2989 * pixels.data[i + 0] + 0.5870 * pixels.data[i + 1] + 0.1140 * pixels.data[i + 2]);
pixels.data[i + 0] = gray;
pixels.data[i + 1] = gray;
pixels.data[i + 2] = gray;
pixels.data[i + 3] = 255;
}
return pixels;
}
findMax = a => a.reduce((res,cur) => res < cur ? cur : res ,-Infinity);
findMin = a => a.reduce((res,cur) => res > cur ? cur : res ,Infinity);
function LBP_LocalPattern(pixels) {
//local binary pattern
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
const lbpImage = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
const center = grayImage[i * width + j];
let code = 0;
code |= (grayImage[(i - 1) * width + (j - 1)] > center) << 7;
code |= (grayImage[(i - 1) * width + j] > center) << 6;
code |= (grayImage[(i - 1) * width + (j + 1)] > center) << 5;
code |= (grayImage[i * width + (j + 1)] > center) << 4;
code |= (grayImage[(i + 1) * width + (j + 1)] > center) << 3;
code |= (grayImage[(i + 1) * width + j] > center) << 2;
code |= (grayImage[(i + 1) * width + (j - 1)] > center) << 1;
code |= (grayImage[i * width + (j - 1)] > center) << 0;
lbpImage[i * width + j] = code;
}
}
for (let i = 0; i < lbpImage.length; i++) {
const code = lbpImage[i];
const value = Math.round((code / 255) * 255);
data[i * 4] = value;
data[i * 4 + 1] = value;
data[i * 4 + 2] = value;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function LGP_LocalPattern(pixels) {
//local gradient pattern
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
var base2nums=[128,64,32,16,8,4,2,1];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
const lgpImage = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
const center = grayImage[i * width + j];//a5
a1=grayImage[(i - 1) * width + (j - 1)];
a2=grayImage[(i - 1) * width + j];
a3=grayImage[(i - 1) * width + (j + 1)];
a4=grayImage[i * width + (j + 1)];
a5=grayImage[(i + 1) * width + (j + 1)];
a6=grayImage[(i + 1) * width + j];
a7=grayImage[(i + 1) * width + (j - 1)];
a8=grayImage[i * width + (j - 1)];
// [a1,a2,a3,
// a8,center,a4,
// a7,a6,a5]
var g_mean=Math.abs(a1+a2+a3+a4+a5+a6+a7+a8-8*center)/8;
label=(Math.abs(a1-center)>g_mean)*base2nums[0]+(Math.abs(a2-center)>g_mean)*base2nums[1]+(Math.abs(a3-center)>g_mean)*base2nums[2]+(Math.abs(a4-center)>g_mean)*base2nums[3]+(Math.abs(a5-center)>g_mean)*base2nums[4]+(Math.abs(a6-center)>g_mean)*base2nums[5]+(Math.abs(a7-center)>g_mean)*base2nums[6]+(Math.abs(a8-center)>g_mean)*base2nums[7];
lgpImage[i * width + j] = label;
}
}
for (let i = 0; i < lgpImage.length; i++) {
const value = lgpImage[i];
data[i * 4] = value;
data[i * 4 + 1] = value;
data[i * 4 + 2] = value;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function LTP_LocalPattern(pixels) {
//local ternary pattern
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
//var th=3;
var th=Math.floor(InputFieldsAll[0].value);
var choice=InputFieldsAll[1].value;
var code=0;
var base2nums=[128,64,32,16,8,4,2,1];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
const ltp_low = new Array(width * height);
const ltp_high = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
var center = grayImage[i * width + j];//a5
a1=grayImage[(i - 1) * width + (j - 1)];
a2=grayImage[(i - 1) * width + j];
a3=grayImage[(i - 1) * width + (j + 1)];
a4=grayImage[i * width + (j + 1)];
a5=grayImage[(i + 1) * width + (j + 1)];
a6=grayImage[(i + 1) * width + j];
a7=grayImage[(i + 1) * width + (j - 1)];
a8=grayImage[i * width + (j - 1)];
// [a1,a2,a3,
// a8,center,a4,
// a7,a6,a5]
low=center-th;
high=center+th;
ltp_l=(a1<=low)*base2nums[0]+(a2<=low)*base2nums[1]+(a3<=low)*base2nums[2]+(a4<=low)*base2nums[3]+(a5<=low)*base2nums[4]+(a6<=low)*base2nums[5]+(a7<=low)*base2nums[6]+(a8<=low)*base2nums[7];
ltp_h=(a1>high)*base2nums[0]+(a2>high)*base2nums[1]+(a3>high)*base2nums[2]+(a4>high)*base2nums[3]+(a5>high)*base2nums[4]+(a6>high)*base2nums[5]+(a7>high)*base2nums[6]+(a8>high)*base2nums[7];
ltp_low[i * width + j] = ltp_l;
ltp_high[i * width + j] = ltp_h;
}
}
for (let i = 0; i < ltp_low.length; i++) {
if (choice==0){
code = ltp_low[i];
} else {
code = ltp_high[i];
}
//code = ltp_low[i];
//let value = Math.round((code / 255) * 255);
var value =Math.round(code);
data[i * 4] = value;
data[i * 4 + 1] = value;
data[i * 4 + 2] = value;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function RT_LocalPattern(pixels) {
//Rank Transform
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
var base2nums=[128,64,32,16,8,4,2,1];
var uint8_labels=[0,32,64,96,128,160,192,224,256];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
const label_im = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
var center = grayImage[i * width + j];//a5
a1=grayImage[(i - 1) * width + (j - 1)];
a2=grayImage[(i - 1) * width + j];
a3=grayImage[(i - 1) * width + (j + 1)];
a4=grayImage[i * width + (j + 1)];
a5=grayImage[(i + 1) * width + (j + 1)];
a6=grayImage[(i + 1) * width + j];
a7=grayImage[(i + 1) * width + (j - 1)];
a8=grayImage[i * width + (j - 1)];
// [a1,a2,a3,
// a8,center,a4,
// a7,a6,a5]
label=(a1<center)+(a2<center)+(a3<center)+(a4<center)+(a5<center)+(a6<center)+(a7<center)+(a8<center);
label_im[i * width + j]=label;
}
}
for (let i = 0; i < label_im.length; i++) {
const value =uint8_labels[Math.floor(label_im[i])];
data[i * 4] = value;
data[i * 4 + 1] = value;
data[i * 4 + 2] = value;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function TS0_condition(a1,center){
if (a1<center) return 0;
if (a1==center) return 1;
if (a1>center) return 2;
}
function TS1_condition(a1,center,T_value){
if (a1<(center-T_value)) return 0;
if ((a1>=(center-T_value))&&(a1<=(center+T_value))) return 1;
if (a1>(center+T_value)) return 2;
}
function STS_condition(a1,center,T_value){
if (a1<(center-T_value)) return 0;
if ((a1>=(center-T_value))&&(a1<=(center+T_value))) return 1;
if (a1>(center+T_value)) return 2;
}
function STU_condition(a1,center,T_value){
if (a1<(center-T_value)) return 0;
if ((a1>=(center-T_value))&&(a1<=(center+T_value))) return 1;
if (a1>(center+T_value)) return 2;
}
function TS0_LocalPattern(pixels) {
//Texture Spectrum
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
var base3nums=[2187,729,243,81,27,9,3,1];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
const label_im = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
var center = grayImage[i * width + j];//a5
a1=grayImage[(i - 1) * width + (j - 1)];
a2=grayImage[(i - 1) * width + j];
a3=grayImage[(i - 1) * width + (j + 1)];
a4=grayImage[i * width + (j + 1)];
a5=grayImage[(i + 1) * width + (j + 1)];
a6=grayImage[(i + 1) * width + j];
a7=grayImage[(i + 1) * width + (j - 1)];
a8=grayImage[i * width + (j - 1)];
label=TS0_condition(a1,center)*base3nums[0]+TS0_condition(a2,center)*base3nums[1]+TS0_condition(a3,center)*base3nums[2]+TS0_condition(a4,center)*base3nums[3]+TS0_condition(a5,center)*base3nums[4]+TS0_condition(a6,center)*base3nums[5]+TS0_condition(a7,center)*base3nums[6]+TS0_condition(a8,center)*base3nums[7];
label_im[i * width + j]=label;
}
}
for (let i = 0; i < label_im.length; i++) {
const value =Math.floor((label_im[i]/6560)*16777216);//normalize to rgb range 0-256**3
let r=Math.floor(value/(256**2));
let g=Math.floor((value%(256**2))/256);
let b=Math.floor(value%256);
data[i * 4] = r;
data[i * 4 + 1] = g;
data[i * 4 + 2] = b;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function TS1_LocalPattern(pixels) {
//Texture Spectrum
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
//var T_value=5;
var T_value=Math.floor(InputFieldsAll[0].value);
var base3nums=[2187,729,243,81,27,9,3,1];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
var label_im = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
var center = grayImage[i * width + j];//a5
a1=grayImage[(i - 1) * width + (j - 1)];
a2=grayImage[(i - 1) * width + j];
a3=grayImage[(i - 1) * width + (j + 1)];
a4=grayImage[i * width + (j + 1)];
a5=grayImage[(i + 1) * width + (j + 1)];
a6=grayImage[(i + 1) * width + j];
a7=grayImage[(i + 1) * width + (j - 1)];
a8=grayImage[i * width + (j - 1)];
label=TS1_condition(a1,center,T_value)*base3nums[0]+TS1_condition(a2,center,T_value)*base3nums[1]+TS1_condition(a3,center,T_value)*base3nums[2]+TS1_condition(a4,center,T_value)*base3nums[3]+TS1_condition(a5,center,T_value)*base3nums[4]+TS1_condition(a6,center,T_value)*base3nums[5]+TS1_condition(a7,center,T_value)*base3nums[6]+TS1_condition(a8,center,T_value)*base3nums[7];
label_im[i * width + j]=label;
}
}
for (let i = 0; i < label_im.length; i++) {
let value =Math.floor((label_im[i]/6560)*16777216);//normalize to rgb range 0-256**3
let r=Math.floor(value/(256**2));
let g=Math.floor((value%(256**2))/256);
let b=Math.floor(value%256);
data[i * 4] = r;
data[i * 4 + 1] = g;
data[i * 4 + 2] = b;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function STS_LocalPattern(pixels) {
//Simplified Texture Spectrum
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
var T_value=0;
var base3nums=[2187,729,243,81,27,9,3,1];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
var label_im = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
var center = grayImage[i * width + j];//a5
//a1=grayImage[(i - 1) * width + (j - 1)];
//a2=grayImage[(i - 1) * width + j];
//a3=grayImage[(i - 1) * width + (j + 1)];
a4=grayImage[i * width + (j + 1)];
a5=grayImage[(i + 1) * width + (j + 1)];
a6=grayImage[(i + 1) * width + j];
a7=grayImage[(i + 1) * width + (j - 1)];
//a8=grayImage[i * width + (j - 1)];
label=STS_condition(a4,center,T_value)*base3nums[4]+STS_condition(a5,center,T_value)*base3nums[5]+STS_condition(a6,center,T_value)*base3nums[6]+STS_condition(a7,center,T_value)*base3nums[7];
label_im[i * width + j]=label;
}
}
for (let i = 0; i < label_im.length; i++) {
let value =Math.floor((label_im[i]/81)*255);//normalize to range 0-255
let r=value;
let g=value;
let b=value;
data[i * 4] = r;
data[i * 4 + 1] = g;
data[i * 4 + 2] = b;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function STU_LocalPattern(pixels) {
//Simplified Texture Unit
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
var T_value=Math.floor(InputFieldsAll[0].value);//3
var choice=Math.floor(InputFieldsAll[1].value);//0-horizontal & vertical; 1-diagonals
var base3nums=[2187,729,243,81,27,9,3,1];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
var label_im = new Array(width * height);
for (let i = 1; i < height - 1; i++) {
for (let j = 1; j < width - 1; j++) {
var center = grayImage[i * width + j];//a5
// [a1,a2,a3,
// a8,center,a4,
// a7,a6,a5]
if (choice==0){
a2=grayImage[(i - 1) * width + j];
a4=grayImage[i * width + (j + 1)];
a6=grayImage[(i + 1) * width + j];
a8=grayImage[i * width + (j - 1)];
label=STU_condition(a2,center,T_value)*base3nums[4]+STU_condition(a4,center,T_value)*base3nums[5]+STU_condition(a6,center,T_value)*base3nums[6]+STU_condition(a8,center,T_value)*base3nums[7];
}
if (choice==1){
a1=grayImage[(i - 1) * width + (j - 1)];
a3=grayImage[(i - 1) * width + (j + 1)];
a5=grayImage[(i + 1) * width + (j + 1)];
a7=grayImage[(i + 1) * width + (j - 1)];
label=STU_condition(a1,center,T_value)*base3nums[4]+STU_condition(a3,center,T_value)*base3nums[5]+STU_condition(a5,center,T_value)*base3nums[6]+STU_condition(a7,center,T_value)*base3nums[7];
}
label_im[i * width + j]=label;
}
}
//16777216
for (let i = 0; i < label_im.length; i++) {
let value =Math.floor((label_im[i]/81)*255);//normalize to 0-255
let r=value;
let g=value;
let b=value;
data[i * 4] = r;
data[i * 4 + 1] = g;
data[i * 4 + 2] = b;
data[i * 4 + 3] = 255;
}
pixels.data=data;
return pixels;
}
function MTS_LocalPattern(pixels) {
//Modified Texture Spectrum
var data = pixels.data;
var grayImage = new Array(width * height);
for (let i = 0; i < data.length; i += 4) {
const grayValue = Math.round(
(data[i] + data[i + 1] + data[i + 2]) / 3
);
grayImage[i / 4] = grayValue;
}
var base2nums=[128,64,32,16,8,4,2,1];
var a1,a2,a3,a4,a5,a6,a7,a8,a9=0;
var label_im = new Array(width * height);
for (let i = 1; i < height - 1; i++) {