2 votes

What is a basic method to segment "dark blobs"?

I'd choose a method which takes into consideration both edge detection and binary segmentation (Binarization). One easy way to do so is using the Markov Random Field approach which is solved using ...
Royi's user avatar
  • 18.9k
2 votes

Image resolution vs. dimensions

The term “resolution” is much, much older than digital imaging, and was first used when talking about microscopes. Resolution is a microscope’s ability to distinguish separate objects. A resolution of ...
Cris Luengo's user avatar
  • 2,340
2 votes

Image resolution vs. dimensions

The two terms, "image resolution" and "image dimensions", are often used interchangeably in colloquial speech, but they absolutely have distinct technical definitions, especially ...
Ahsan Yousaf's user avatar
  • 1,131
2 votes
Accepted

Applying DCT two times in perceptual hashing

The algorithm uses a 2D DFT. Your Python code implements that 2D DCT through a set of row-wise, followed by a set of column-wise, 1D DCTs.
Marcus Müller's user avatar
1 vote

How to use DCT to compare images?

"Comparing two images" is a bit too vague. What do you compare for? Two identical photographs, say of the identical scene containing a cat, exposed differently, will have shifted histograms, ...
Marcus Müller's user avatar
1 vote
Accepted

Converting cutoff_frequency_ratio to Cycles/Pixel in Butterworth Filtering with skimage

How can I convert cutoff_frequency_ratio to "cycles per pixel"? They are the same thing. By expressing the cut off in terms of the ratio, the physical units, whether they were samples per ...
AnonSubmitter85's user avatar
1 vote
Accepted

How can I find an error measure based on the horizontal shift of vertical lines?

The location could be found using a simple weighting of the pixel values: Pixel location 0 1 2 3 4 5 Pixel value 0 50 255 200 0 0 Product 0 1 $\times$ 50 = 50 2 $\times$ 255 = 510 3 $\times$ 200 = ...
Peter K.'s user avatar
  • 25k

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