Open AccessResearch and Application of Multiscale Representation and Regularization Method in Image Recognition
Author(s) -
Heng Wang,
Baoyu Zheng
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 - 10.1088/1742-6596/1544/1/012159
Subject(s) - preprocessor , computer science , artificial intelligence , regularization (linguistics) , pattern recognition (psychology) , image processing , computer vision , matlab , image (mathematics) , feature extraction , image segmentation , operating system
Image Recognition is the Use of Computers to Process, Analyze and Understand Images to Identify Different Patterns of Objects and Images. in This Paper, We Introduce the Idea of Nonlocal Processing on the Basis of Regularization Tv. the Process of Image Recognition System is Divided into Five Parts: Image Input, Preprocessing, Feature Extraction, Classification and Matching, in Which Preprocessing Can Be Divided into Image Segmentation, Image Enhancement, Two Value Reduction and Refinement and So on. the Paper Presents Research and Application of Multiscale Representation and Regularization Method in Image Recognition. At the Same Time, through Programming in the Matlab Programming Environment to Achieve the Relevant Algorithm, through the Actual Image Recognition Experiments, the Use of These Conclusions, and Finally to Accurately Identify the Results.