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改进后的Otsu自适应背景分离的局部直方图均衡化增强算法
引用本文:刘阳,彭刚,刘诚,杨雄,刘利.改进后的Otsu自适应背景分离的局部直方图均衡化增强算法[J].惠州学院学报,2012,32(3):30-35.
作者姓名:刘阳  彭刚  刘诚  杨雄  刘利
作者单位:1. 惠州学院计算机科学系,广东惠州,516007
2. 澳门科技大学,中国澳门
摘    要:Otsu自适应背景分离的局部直方图均衡化增强算法是综合改进后的Otsu自适应背景分离算法和局部直方图均衡化增强算法的一种新处理方法,首先,利用改进后的Otsu算法对图像进行目标区域和背景区域的分离,然后利用分离出来的目标区域进行直方图均衡化处理。实验结果表明,图像经过处理后,目标区域对比度明显增强。

关 键 词:Otsu自适应背景分离  局部直方图均衡化  对比度增强  图像增强

Improved LAHE and Enhancement Algorithm Based on Self- adaptive Otsu of Background Segregation
LIU Yang,PENG Gang,LIU Cheng,YANG Xiong,LIU Li.Improved LAHE and Enhancement Algorithm Based on Self- adaptive Otsu of Background Segregation[J].Journal of Huizhou University,2012,32(3):30-35.
Authors:LIU Yang  PENG Gang  LIU Cheng  YANG Xiong  LIU Li
Institution:1(1.Department.of Computer Science,Huizhou University,Huizhou 516007,Guangdong China; 2.Macau University Science and Technology,Macau China)
Abstract:The presented algorithm is a novel method for the enhancement of medical image.For an input medical image,we use the improved algorithm of self-adaptive Otsu to separate the target area from background pixels,then the area of interested target is processed through local area histogram equalization method.The experimental results illustrate that the contrast ratio of the area for the target is enhanced greatly after the input image is processed by our algorithm,justify the power of the presented methodology.
Keywords:self - adaptive background segregation  socal area histogram equalization method (LAHE)  sontrast enhancement  image enhancement
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