灰度梯度映射函数改进的Otsu阈值法  

Improved Otsu threshold method for gray gradient mapping function

作　　者：张弘[1] 郑培甜 ZHANG Hong;ZHENG Peitian(School of Automation, Xi-an University of Posts and Telecommunications, Xi-an 710121, China)

机构地区：[1]西安邮电大学自动化学院,西安710121

出　　处：《计算机工程与应用》2017年第12期190-195,共6页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61571361;No.61340040;No.61102095);陕西省科技计划项目(No.2014KJXX-72);陕西省教育厅科学研究计划项目(No.15JK1682)

摘　　要：针对目标与背景灰度分布不均匀的图像,基于集中于目标的图像阈值法思想,引入图像的灰度直方图信息,得到更为细致的阈值化准则。考虑图像的边缘信息,引入灰度梯度映射函数,提出了基于梯度的集中于目标的Otsu阈值法。大量经典图像阈值化结果表明,该方法在目标提取的完整性和边缘保留的清晰性方面,均表现出了更佳的效果。During the actual image has existing object and background gray level information distribution imbalance,based on the image thresholding thinking focused on the goal,the histogram information of the image is introduced to getmore detailed guidelines thresholding.Considering the edge information of the image,the gray gradient mapping functionis introduced,the gradient based and the focused on the goal of Otsu threshold method is proposed.The results of lotsof classic image thresholding show that the proposed method is better than the existing methods,and it can obtain morecomplete objects and clearer edges.

关 键 词：图像分割 集中于目标的Otsu 法 灰度梯度映射函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]