Title: Texture Based Image Retrieval Using GLCM and LBP
Abstract: In the technical period, things will enrich it every day, one of which is content-based image retrieval. The comparative study of texture-dependent algorithms based on a spatial domain with feature extraction and distance metrics was explored in this paper. Texture attribute extraction uses the gray level co-occurrence matrix and local binary pattern for statistical analysis. The correlation test shows that contrast, correlation, energy, entropy, and homogeneity feature of gray level co-occurrence matrix and local binary pattern features taken from the LBP histogram have a significant correlation. For the study of the gray level co-occurrence vector and local binary pattern on content-based image retrieval system, the precision, accuracy, and recall as well as F-score are measured.
Publication Year: 2021
Publication Date: 2021-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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