A Fast Image Retrieval Method Based on Weighted Chromaticity Histogram

Xing Qiang, Yuan Baozong, and Tang Xiaofang

Journal of Computer Research and Development > 2005 > 42(11): 1903-1910.

Xing Qiang, Yuan Baozong, and Tang Xiaofang. A Fast Image Retrieval Method Based on Weighted Chromaticity Histogram[J]. Journal of Computer Research and Development, 2005, 42(11): 1903-1910.

Citation:

Xing Qiang, Yuan Baozong, and Tang Xiaofang. A Fast Image Retrieval Method Based on Weighted Chromaticity Histogram[J]. Journal of Computer Research and Development, 2005, 42(11): 1903-1910.

Citation:

Xing Qiang, Yuan Baozong, and Tang Xiaofang. A Fast Image Retrieval Method Based on Weighted Chromaticity Histogram[J]. Journal of Computer Research and Development, 2005, 42(11): 1903-1910.

PDF (720 KB)

A Fast Image Retrieval Method Based on Weighted Chromaticity Histogram

Xing Qiang, Yuan Baozong, and Tang Xiaofang

(Institute of Information Science, Beijing Jiaotong University, Beijing 100044)

More Information

Published Date: November 14, 2005

Graphical Abstract

Abstract

Abstract

The disadvantages of the traditional color image retrieval method based on color histogram are the large data storage and high complexity of computation. And what's more, the retrieval results with the condition of different illumination are not good as expected. So a fast image retrieval method based on the weighted chromaticity histogram is proposed in this paper. The method eliminates the condition of illumination using the illumination invariance model. And the image of 2-dimensional chromaticity histogram after normalization is compressed by wavelet and DCT transform, where the gray value of its pixel has been weighted based on the proportion of the chromaticity represented by the pixel in the raw image. Experiments show that retrieval results using the method presented are improved. And the time taken in retrieval process is much shorter than that when using traditional methods.
- CBIR(content-based image retrieval),
- illumination invariance,
- chromaticity histogram

FullText(HTML)

References (0)

[1]	Li Song, Cao Wenqi, Hao Xiaohong, Zhang Liping, Hao Zhongxiao. Collective Spatial Keyword Query Based on Time-Distance Constrained and Cost Aware[J]. Journal of Computer Research and Development, 2025, 62(3): 808-819. DOI: 10.7544/issn1000-1239.202330815
[2]	Wei Junyu, Zhang Guangyan, Chen Junchao. Data-Pattern-Aware Low-Cost Cloud Log Storage Systems[J]. Journal of Computer Research and Development, 2023, 60(11): 2442-2452. DOI: 10.7544/issn1000-1239.202330178
[3]	Lu Min, Huang Yalou, Xie Maoqiang, Wang Yang, Liu Jie, Liao Zhen. Cost-Sensitive Listwise Ranking Approach[J]. Journal of Computer Research and Development, 2012, 49(8): 1738-1746.
[4]	Wang Weizheng, Kuang Jishun, You Zhiqiang, Liu Peng. A Low-Power and Low-Cost BIST Scheme Based on Capture in Turn of Sub-Scan Chains[J]. Journal of Computer Research and Development, 2012, 49(4): 864-872.
[5]	Xiao Fangxiong, Huang Zhiqiu, Cao Zining, Yuan Min, and Zhang Junhua. Describing and Cost Analyzing of Web Services Composition Using PPA[J]. Journal of Computer Research and Development, 2009, 46(5): 832-840.
[6]	Zhao Jia, Han Jun, Zeng Xiaoyang, and Han Lin. A Two-Dimensional Parity-Based Concurrent Error Detection Method for AES Against Differential Fault Attack and Its VLSI Implementation[J]. Journal of Computer Research and Development, 2009, 46(4): 593-601.
[7]	Tong Yuanman, Wang Zhiying, Dai Kui, and Lu Hongyi. A DPA and HO-DPA Resistant Implementation of AES[J]. Journal of Computer Research and Development, 2009, 46(3): 377-383.
[8]	Liu Zhenglin, Han Yu, Zou Xuecheng, and ChenYicheng. Power Analysis Attacks Against AES Based on Maximal Bias Signal[J]. Journal of Computer Research and Development, 2009, 46(3): 370-376.
[9]	He Xiaoyang and Wang Yasha. Model-Based Methods for Software Cost Estimation[J]. Journal of Computer Research and Development, 2006, 43(5): 777-783.
[10]	Wu Min, Zeng Xiaoyang, Han Jun, Ma Yongxin, Wu Yongyi, and Zhang Guoquan. A Low Cost RSA Chip Design Based on CRT[J]. Journal of Computer Research and Development, 2006, 43(4): 639-645.