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Alternative TitleImage enhancement using clustering and histogram equalization
曹军峰; 史加成; 罗海波; 常铮; 惠斌
Source Publication红外与激光工程
Indexed ByEI ; CSCD
EI Accession number20131016090254
Contribution Rank1
Funding Organization国防973项目
Keyword图像增强 图像分割 直方图均衡 模糊c均值聚类
Other AbstractIt was difficult for the conventional HE methods to give consideration to restraining noise while emphasizing features. A novel image enhancement technique based on image segment by clustering and histogram equalization was proposed to overcome the drawback. The input image was smoothed by a Gaussian filter, and the fuzzy C-means clustering algorithm was used to segment the low-pass image into several partitions, and then the edge information and morphological operations were used to fix the segmentation result. Each partition was assigned to a new dynamic range according to its mean and standard deviation. Based on the dynamic range, the histogram equalization process was applied independently to these partitions. Smooth filtering was applied to eliminate the blocking-effect. The results of experiments showed that been processed by the proposed algorithm, the contrast was significantly enhanced and noise was effectively suppressed. The proposed algorithm not only can be used for image enhancement, but also can be used for dynamic range compression, so it has broad application prospects.
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Cited Times:7[CSCD]   [CSCD Record]
Document Type期刊论文
Recommended Citation
GB/T 7714
曹军峰,史加成,罗海波,等. 采用聚类分割和直方图均衡的图像增强算法[J]. 红外与激光工程,2012,41(12):3436-3441.
APA 曹军峰,史加成,罗海波,常铮,&惠斌.(2012).采用聚类分割和直方图均衡的图像增强算法.红外与激光工程,41(12),3436-3441.
MLA 曹军峰,et al."采用聚类分割和直方图均衡的图像增强算法".红外与激光工程 41.12(2012):3436-3441.
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