archive-gh-me/node-opencv
1
0
Fork 0
mirror of https://github.com/peterbraden/node-opencv.git synced 2025-12-08 19:45:55 +00:00
Code Issues Projects Releases Wiki Activity

Add canny match template test

Browse Source 
As we can pass matrix as template, detecting canny provide more robust
match if we only care about shape rather than contrast and color.
This commit is contained in:
Sen 2016-07-25 16:48:17 -04:00
parent e578cdb869
commit 495e06a591
1 changed files with 21 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

29
test/unit.js
View File

@ -127,7 +127,6 @@ test(".norm", function(assert){
var errorL2 = im.norm(im2, cv.Constants.NORM_L2);
assert.equal(errorL2, 7295.591339980605);
errorL2 = im.norm(im, cv.Constants.NORM_L2);
assert.equal(errorL2, 0);
assert.end();
@ -368,15 +367,29 @@ test('Mean', function(assert) {
test('MatchTemplateByMatrix', function(assert) {
var cv = require('../lib/opencv');
cv.readImage("./examples/files/car1.jpg", function(err, target){
cv.readImage("./examples/files/car1_template.jpg", function(err, template){
var res = target.matchTemplateByMatrix(template, cv.Constants.TM_CCORR_NORMED);
var targetFilename = "./examples/files/car1.jpg";
var templateFilename = "./examples/files/car1_template.jpg";
cv.readImage(targetFilename, function(err, target){
cv.readImage(templateFilename, function(err, template){
var TM_CCORR_NORMED = 3;
var res = target.matchTemplateByMatrix(template, TM_CCORR_NORMED);
var minMax = res.minMaxLoc();
var topLeft = minMax.maxLoc;
assert.ok(topLeft, "Found Match");
console.log(topLeft.x === 717);
assert.equal(topLeft.x, 717, "match location x === 717");
assert.equal(topLeft.y, 0, "match location y === 717");
assert.ok(topLeft, "RGB Found Match");
assert.equal(topLeft.x, 42, "match location x === 42");
assert.equal(topLeft.y, 263, "match location y === 263");
target.canny(5,300);
template.canny(5,300);
res = target.matchTemplateByMatrix(template, TM_CCORR_NORMED);
minMax = res.minMaxLoc();
topLeft = minMax.maxLoc;
target.save("./target.png");
template.save("./template.png");
// res.rectangle([topLeft.x, topLeft.y], [template.width(), template.height()], [0, 255,0], 2);
res.save("./result.png");
assert.ok(topLeft, "Canny edge Found Match");
assert.equal(topLeft.x, 42, "match location x === 42");
assert.equal(topLeft.y, 263, "match location y === 263");
assert.end();
});
})