Open AccessResearch on Image Retrieval with Multi-features
Author(s) -
Yemin Guo
Publication year - 2019
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 - 10.1088/1742-6596/1345/6/062060
Subject(s) - image texture , computer science , image retrieval , artificial intelligence , computer vision , visual word , automatic image annotation , content based image retrieval , pattern recognition (psychology) , similarity (geometry) , feature (linguistics) , feature extraction , image (mathematics) , color image , feature detection (computer vision) , key (lock) , image processing , linguistics , philosophy , computer security
This paper focuses on the key technology of image feature extraction in the image retrieval of the base ten-content, and systematically discusses the extraction technology of the low-level visual features of the image. The covered content mainly includes the color features, shape features, texture features and color space of the image. The characteristics of distribution are important. In-depth analysis and research on some key technologies in the field of image retrieval in the base ten content, including the description methods of the main low-level features (color, shape, texture, spatial position) of the image, the similarity measure between image features and the image retrieval algorithm Performance evaluation methods, etc.