Open AccessResearch on Feature Extraction Method of Geometric Image Recognition
Author(s) -
Na Chen,
Gang Zheng,
Chunqiong Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/4/042031
Subject(s) - artificial intelligence , computer science , image (mathematics) , feature detection (computer vision) , feature extraction , computer vision , image processing , pattern recognition (psychology) , process (computing) , feature (linguistics) , pixel , linguistics , philosophy , operating system
The existing image recognition feature extraction technology cannot effectively transmit the image information if the extracted features are not complete, sufficient and inaccurate. It will have an impact on image processing, such as reducing the accuracy and efficiency of subsequent image recognition and image tracking. At the same time, the existing technology for image processing destroys the topological structure between image pixels, and the process is complicated in the calculation of high-dimensional data space. Therefore, this paper proposes a method and steps of feature extraction for collective image recognition, and makes relevant supplementary explanation and analysis.