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基于自适应邻域灰度直方图均衡的超声内窥镜图像增强
引用本文:朱其刚,朱志强.基于自适应邻域灰度直方图均衡的超声内窥镜图像增强[J].山东科技大学学报(自然科学版),2004,23(3):120-123.
作者姓名:朱其刚  朱志强
作者单位:山东科技大学,信息与电气工程学院,山东,青岛,266510
摘    要:对超声内窥镜增强的方法进行了研究,利用邻域膨胀技术实现了自适应邻域直方图均衡,一定程度内避免了局部直方图均衡时对滑动窗口内所有象素点都进行统计的盲目性。尤其对局部窗口内的噪声点和局部窗口切割造成的不完整细节的象素点避免了统计,减少了增强后图像中的噪声,并将处理结果与全局直方图均衡、局域直方图均衡的结果进行比较分析。自适应邻域直方图均衡对细节的增强较好且对细节的保护也较好。

关 键 词:图像增强  超声内窥镜图像  灰度直方图均衡
文章编号:1672-3767(2004)03-0120-04
修稿时间:2004年5月24日

Self-adaptive Based Neighbor hood Grey-level Histogram Equalization for the Enhancement of Ultrasound Endoscopic Image
ZHU Qi-gang,ZHU Zhi-qiang.Self-adaptive Based Neighbor hood Grey-level Histogram Equalization for the Enhancement of Ultrasound Endoscopic Image[J].Journal of Shandong Univ of Sci and Technol: Nat Sci,2004,23(3):120-123.
Authors:ZHU Qi-gang  ZHU Zhi-qiang
Abstract:The development history and present state of ultrasonic imaging are summarized first, and the development history and character of image processing of endosonography are presented chiefly. In order to improve quality of medical ultrasound endoscopic image,the authors employ the adaptive histogram equalization to enhance the details. To enhance the detail of local issue, it is better to use ANHE method.
Keywords:image enhancing  ultrasound endoscopic image  grey-level histogram equalization
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