Image retrieval method based on k-means block

GuanNan Deng; Lu Mu; Zhe Ma; Mei Zhang

doi:10.1117/12.2680938

8 June 2023 Image retrieval method based on k-means block

GuanNan Deng, Lu Mu, Zhe Ma, Mei Zhang

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270703 (2023) https://doi.org/10.1117/12.2680938
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

In order to improve the ability to describe image information, this paper proposes an image retrieval method based on kmeans block. Firstly, under Lab color space, the image is divided into 6 sub-regions using k-means algorithm. And the external rectangle determined by each sub-region is segmented on the original image to obtain 6 sub-blocks that can contain the main information of the image. Then, the color features of each sub-block are extracted separately. Finally, the degree of similarity is reflected by the Euclidean distance between the image feature vectors. The simulation experimental results show that the proposed algorithm in this paper has been improved compared with the comparison scheme.

Citation Download Citation

GuanNan Deng, Lu Mu, Zhe Ma, and Mei Zhang "Image retrieval method based on k-means block", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270703 (8 June 2023); https://doi.org/10.1117/12.2680938

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