We propose a fusion feature vector of low-level texture and color image features to lessen the semantic gap between the low-level and high-level image features.
Oct 22, 2024 · To counter these problems, we suggest a novel second-order Local Tetra Angle Patterns (LTAP) to better capture the texture features from the ...
The CBIR demands the development of reliable descriptors to attain the most appropriate images from the depository and better address the semantic gap problem.
A hybrid CBIR system using novel local tetra angle patterns and color moment features ... with local space filling curves to spatial representation, Pattern ...
A hybrid CBIR system using novel local tetra angle patterns and color moment features. Journal of King Saud University-Computer and …, 2022. [13], Absent Color ...
A hybrid CBIR system using novel local tetra angle patterns and color moment features. 2022, Journal of King Saud University - Computer and Information ...
Oct 22, 2024 · A hybrid CBIR system using novel local tetra angle patterns and color moment features. Article. Full-text available. Jul 2022. Umer Ali Khan ...
A hybrid CBIR system using novel local tetra angle patterns and color moment features ... J. King Saud Univ. Comput. Inf. Sci. 2022.
Hybrid Bag-of-Visual-Words and FeatureWiz Selection for Content ...
pmc.ncbi.nlm.nih.gov › PMC9919877
In this paper, we propose a new CBIR framework based on the visual words fusion of multiple feature descriptors to achieve an improved retrieval performance.
A hybrid CBIR system using novel local tetra angle patterns and color moment features. Journal of King Saud University-Computer and …, 2022. [13], Absent Color ...