mage feature extraction and image recognition, as the most difficult and critical steps in visualization, play a key role in computer vision systems. Feature extraction refers to the computer-aided extraction of image information, followed by judging whether a point is a feature of the image. After feature extraction, the points on the image are divided into different subsets, which tend to be isolated points, continuous curves, or continuous areas.
Features are an interesting aspect of digital images. It is the starting point of many computer image recognition algorithms. The success of an image recognition algorithm depends on how it uses and defines image features. Reproducibility is one of the most important properties of image feature extraction, that is, the features extracted from different images of the same scene should be the same.