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Color Image Retrieval Using Fuzzy Measure Hamming and S-Tree

2015/06/03 by Thanh The Van, Van, Thanh The, Thanh Manh Le +1
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #H.2.8 #H.3.3 #Image Retrieval and Classification Techniques #cs.CV

paper · pdf · doi:10.48550/arxiv.1506.01166

9 pages, 4 figures

arxiv created 2015/06/03 · openalex publication_date 2015/06/03 · arxiv updated 2015/06/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This chapter approaches the image retrieval system on the base of the colors of image. It creates fuzzy signature to describe the color of image on color space HSV and builds fuzzy Hamming distance (FHD) to evaluate the similarity between the images. In order to reduce the storage space and speed up the search of similar images, it aims to create S-tree to store fuzzy signature relies on FHD and builds image retrieval algorithm on S-tree. Then, it provides the content-based image retrieval (CBIR) and an image retrieval method on FHD and S-tree. Last but not least, based on this theory, it also presents an application and experimental assessment of the process of querying similar image on the database system over 10,000 images.

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