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In general, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame.

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That code is a bit convoluted in its approach. The purpose of all of part 2 is to create the matrix D. The minus signs in matrices U and V end up being irrelevant due to the squaring operation that ha …
answered Nov 9 '13 by sav
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Orthogonal means that the inner product is zero. For example, in the case of using dot product as your inner product, two perpendicular vectors are orthogonal. Orthonormal means these vectors have bee …
answered Nov 6 '13 by sav
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A simple method for comparing images is template matching Its usually used for finding a smaller image in a larger image. You could also use it as a way of comparing how similar two images of the sa …
answered Mar 1 '15 by sav
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You can create your own custom kernel filter using something similar to this example. if you just want to find image gradients there are other options such as sobel and laplace If your aim is edge d …
answered Jul 4 '13 by sav
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3answers
I am trying to write an image processing program to recognize bubbles in oil. It has been suggested I try computing the convolution of the image and an image of a typical bubble. i.e. : ifft(fft(a).f …
asked Apr 5 '13 by sav
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There's CImg for image processing. Its been around for years now and has grown to have many features. Its a mature, open source project and its well documented. The CImg license is similar to LGPL. …
answered Jul 17 '13 by sav
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I'll start with the Hough line transform. The hough transform works by creating a buffer (2 dimensional in our case) which represents all the possible lines in the image. Any possible line can be r …
answered Mar 1 '15 by sav