Entropy-based Local Histogram Equalization for Medical Ultrasound Image Enhancement
Local histogram equalization (LHE) has been widely used in image enhancement. In medical ultrasound image the region of interest usually surrounds by large area of dark background, which contains little information but consume lots of computational resource. Direct application of LHE will not only be time-consuming but also affect the global visibility due to background distortion. Based on the characteristics of medical ultrasound image, this paper proposes an entropy-based LHE algorithm by using local entropy value of a sub-block to decide whether LHE is applied on the center pixel of this sub-block. The method can accelerate the speed of processing and reduce the background distortion considerably.
Image enhancement local histogram equalization entropy medical ultrasound image
Xin-Yu ZHANG Lan GE Tian-Fu WANG
Dept of Biomedical Engineering, Faulty of Information Engineering, Shenzhen University Shenzhen, China
国际会议
上海
英文
2449-2451
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）