1. Introduction to Sparse Representation
1 Sparse Representation Theory Sparse means that most or all of the original signals are represented by a linear combination of fewer basic signals. After sparse representation, the more sparse the signal is, the more accurate the reconstructed signal will be. Set x< Rn as the signal to be processed ...
Posted by hustler on Mon, 13 Sep 2021 09:56:48 -0700
The programming language used in this program is C#. C #'s Aforge.imaging library was initially used. After many debugging and algorithm function analysis, it is found that there are great problems in the implementation of FFT in the library. It can only transform the picture Fourier, but not the inverse transform. And ...
Posted by fatalcure on Sun, 12 Sep 2021 13:39:03 -0700
This blog will introduce how to use template matching to find objects in images. Template matching is a method to find the position of template image in a large image. OpenCV uses cv2.matchTemplate() and cv2.minMaxLoc() to realize template matching.
It is mainly divided into three parts:
Template matching single objectTemplate matching mu ...
Posted by Anidazen on Wed, 08 Sep 2021 16:26:05 -0700
1 origin and development of ant colony algorithm (ACA) In the process of studying the new algorithm, Marco Dorigo and others found that when ant colony is looking for food, they can exchange foraging information by secreting a biological hormone called pheromone, so they can quickly find the target. Therefore, in their doctoral ...
Posted by Adeus on Sat, 04 Sep 2021 20:02:30 -0700
Morphological operation is actually to change the shape of an object. For example, corrosion is "getting thinner" and expansion is "getting fatter". You can see from the following figure:
Experience: morphological operations generally act on binary gr ...
Posted by Unknown_Striker on Sat, 04 Sep 2021 18:18:25 -0700
1 grayscale The process of converting color image into gray image is called image graying. The pixel value in the color image is determined by the three RGB components, and each component has 0-255 (256) choices. In this way, the pixel value of a pixel can have 16 million possibilities (256256256), while the pixel value of the ...
Posted by mykmallett on Wed, 01 Sep 2021 21:47:38 -0700