Nonlinear Contrast Enhancement of Medical Ultrasonic Image Based on Munsells Scale
Because of various reasons, medical ultrasonic image has a lot of noises. But after filtering processing, it will get blurry especially at the boundary of the region. Almost all of the traditional image contrast enhancement approaches cant preserve the gray values and introduce distortion into the image. In this work, we introduce a nonlinear local contrast enhancement method. This method utilizes the Munsell value scale which is based on human visual perception. Munsell value scale partitions the gray scale into ten discrete subintervals. Then inside each subinterval, we consider the mean edge gray value as the point of the segmentation, and construct an appropriate function to mapping. In this way, the contrast of the image has been enhanced and the shades of the gray value are preserved. Experiment proves that its an effective medical ultrasonic image contrast enhancement approach.
contrast Munsell value scale medical ultrasonic image nonlinear enhancement function
Xiang Nanfei Wang Tianfu Zou Yuanwen Li Deyu Lin Jiangli
Department of Biomedical Engineering, Sichuan University 610065, Chengdu, China College of Information Engineering, Shenzhen University, Shenzhen Key Laboratory of Biomedical Engin Department of Biomedical Engineering, Sichuan University, 610065, Chengdu, China Department of Bioengineering, Beihang University, 100083, Beijing, China
国际会议
上海
英文
2642-2645
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）