Comments (1)
jamescryer
commented on September 25, 2024
It iterates over every pixel in one image and then compares the RGBA values to the corresponding pixel in the other image. If the value difference is greater than a certain amount, it calculates the hue values of surrounding pixels in order to assess the likelihood that this particular pixel is affected by aliasing, if so the pixel is ignored; if not, the pixel is considered different and counted towards to the total percentage difference of the two images.
The RGBA value comparison is a standard way to compare images. The aliasing algorithm, I developed through trail-and-error.
from resemble.js.
Related Issues (20)
- Storing image fingerprints for comparing later HOT 1
- Comparing two different images seems to fail HOT 2
- data.misMatchPercentage returning undefined HOT 1
- Be able to specify tolerance color values independently of the other `ignore` flags HOT 1
- Getting an error UnhandledPromiseRejectionWarning: TypeError: ImageData expected with images of different width HOT 1
- Can I remove nodejs support and redistribute this library? HOT 1
- Compare from Image URL? HOT 1
- Click on the element in the page corresponding to the base image HOT 4
- Getting [object Event] error on complete HOT 5
- ReferenceError on Image variable resemble.js
- GLib-GObject-Warning errors are crashing the process HOT 2
- Random compare output image
- Please upgrade canvas HOT 1
- Error: Can't resolve 'canvas' in '~/node_modules/resemblejs' HOT 2
- FileReader is not defined
- Photo Comparison
- s
- Difference in state of checkbox or radio button not being detected as a mismatch
- Replace Node-Canvas with something else HOT 3
- Please push git tag for version v5.0.0
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from resemble.js.