Research on athletics Image Classification and Application Based on Feature Extraction Algorithm

As a form of popular culture, athletics can promote people’s physical and mental health, and more and more athletics visual images are deeply rooted in people’s hearts through various media, which has a positive and extensive impact on modern society. With the rapid development of multimedia technology and Internet, it is an urgent problem to combine digital image processing, computer vision technology and database technology to create an effective description and retrieval technology for athletics images. All kinds of visual images in the field of athletics should be studied by athletics visual culture, which is of certain value for explaining their cultural ideographic function in contemporary public life and improving the public’s aesthetic and appreciation ability of athletics. All kinds of visual images in the field of athletics should be studied by athletics visual culture, which is of certain value for explaining their cultural ideographic function in contemporary public life and improving the public’s ability to appreciate and appreciate ath-letics.Evolution makes the visual system adaptive to the external environment. It looks for the extreme points in the spatial scale, and extracts their position, scale and rotation invariants, so as to form a 128 dimensional feature vector. In this paper, the feature extraction algorithm is applied to athletics image classification, which can effectively reduce the amount of data and have an important impact on improving the efficiency of image classification.