Due to the recent project requirements related to computer vision, it is necessary to realize the function of recording video in Python and playing back...
Smooth/Blur is the simplest and most common operation in image processing, which can reduce the noise during image preprocessing. Convolution process: above 6x6 is a...
In one of our businesses, we need to take group photos of mobile phones "automatically" by self-developed intelligent hardware. Sometimes, the background color of these...
Image restoration in practice, images are often vulnerable to damage, such as stained lenses, scratches from old photographs, artificial painting (such as Mosaic), or damage...
OpenCV is a C++ library, currently popular computer vision programming library, used for real-time processing of computer vision problems, it covers a lot of modules...
After the introduction, we have mastered the basic zooming function. This post will take you through another geometry transformation in OpenCV, namely, flipping. Flip In...
Decolorization decolorization is the process of converting color image to grayscale image. It is also an essential tool for digital printing, stylized black-and-white photo rendering,...
Image Integration Image integration was first proposed by Crow in 1984 to improve rendering speed in multi-scale perspective projections and is a fast algorithm for...
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Feature point matching feature point refers to the pixel points with significant features in the image. Different feature point detection algorithms are used to obtain...
The greater the difference between the two sides of the Gaussian, the more complete the edge retention filtering operation will be. If the Gaussian blur,...