An Image Thresholding Method Based on Human Visual Perception

被引：0
|
作者：
Li, Zuoyong [1 ,2 ]
Liu, Chuancai [2 ]
Zhao, Cairong [1 ,2 ]
Cheng, Yong [2 ]
机构：
[1] Minjiang Univ, Dept Comp Sci, Fuzhou 350108, Peoples R China
[2] Nanjing Univ Sci & Technol, Dept Comp Engn & Sci, Nanjing 210094, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
基金：
中国国家自然科学基金;
关键词：
Thresholding; image segmentation; human visual perception; statistical characteristic; SEGMENTATION; HISTOGRAM; ENTROPY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel thresholding method based on human visual perception is presented in this paper. The method first utilizes statistical characteristics of an image to choose two gray levels as candidate thresholds by the properties of human visual perception, and then determines the one having minimum standard deviation sum as the optimal threshold. Choice of candidate thresholds reduces search space of thresholds and accelerates threshold selection. The proposed method was compared with several classic thresholding methods on a variety of nondestructive testing (NDT) images and general real world images, and experimental results show its effectiveness and efficiency.
引用
收藏
页码：1724 / 1727
页数：4
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