A Contrast Enhancement Method of Only the Region of Interest while Preserving Mean Brightness

Author(s):  
Hideaki Tanaka ◽  
Akira Taguchi
Author(s):  
Jianjiang Zhu ◽  
Wei Ji ◽  
Jicheng Liu

A contrast enhancement method based on the adaptive noise threshold estimation and logarithmic function in nonsubsampled contourlet transform (NSCT) domain is proposed, which can improve the defects segmentation accuracy of the elevator compensation chain. After extracting region of interest (ROI) according to the spatial location of defects, it is transformed into NSCT domain, where the high-frequency subband coefficients corresponding to noise is suppressed by the adaptive noise threshold estimation. Then, the logarithmic function transformation is used to enhance the image edges to a variable extent. Finally, the enhanced image is segmented by watershed algorithm based on laws texture analysis. Experimental results demonstrate that the performance of the proposed method is superior to the existing methods in terms of both the quality of contrast enhancement and the segmentation accuracy.


2010 ◽  
Vol 31 (13) ◽  
pp. 1816-1824 ◽  
Author(s):  
Sara Hashemi ◽  
Soheila Kiani ◽  
Navid Noroozi ◽  
Mohsen Ebrahimi Moghaddam

Author(s):  
Xiongwei Sun ◽  
Xiubo Ma ◽  
Chunyi Wang ◽  
Zede Zu ◽  
Shouguo Zheng ◽  
...  

2012 ◽  
Vol 55 (1) ◽  
pp. 130-136 ◽  
Author(s):  
Xiaoyan Qian ◽  
Yujin Wang ◽  
Bangfeng Wang

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