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Received:December 16, 2015 Revised:January 21, 2016
Received:December 16, 2015 Revised:January 21, 2016
中文摘要: 针对强调波谷算法和强调波谷邻域算法，都只考虑阈值所在波谷及其邻域的灰度值出现概率对分割结果的影响，提出一种结合波谷的灰度值与其空间分布性的改进的OTSU算法，并构造出一种新的标准差因子，由此形成一个新的阈值分割目标公式. 经过仿真实验，文章提出的算法能有效分割光照不均的图像，有很强的实用性.
Abstract:The valley-emphasis method and the neighborhood valley-emphasis method all consider the gray threshold, where the valley and the neighborhood values affect the probability of segmentation results. This paper proposes an improved Otsu algorithm, which combines valley gray value and spatial distribution of the image, and constructs a new standard deviation factor, thus forms a new threshold segmentation of the target formula. Through the simulation experiment, the proposed algorithm can effectively segment the images, which has a very strong practicability.
keywords: valley-emphasis neighborhood valley-emphasis otsu threshold segmentation standard deviation
文章编号： 中图分类号： 文献标志码：
基金项目:莆田学院校内基金（2013009）
| Author Name | Affiliation |
| LIN Min | Electronics and Engineering College, Putian University, Putian 351100, China |
| Author Name | Affiliation |
| LIN Min | Electronics and Engineering College, Putian University, Putian 351100, China |
引用文本：
林敏.改进的强调波谷信息的阈值分割算法.计算机系统应用,2016,25(8):162-165
LIN Min.Improved Threshold Segmentation Algorithm on Valley-Emphasis Information.COMPUTER SYSTEMS APPLICATIONS,2016,25(8):162-165
林敏.改进的强调波谷信息的阈值分割算法.计算机系统应用,2016,25(8):162-165
LIN Min.Improved Threshold Segmentation Algorithm on Valley-Emphasis Information.COMPUTER SYSTEMS APPLICATIONS,2016,25(8):162-165
