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基于二邻域局部阈值的矾花图像分割

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作者:王新增1, 黄山1, 张真2, 王鉴1

作者单位:1. 四川大学电气信息学院自动化系, 四川成都 610065;
2. 意法半导体(上海)有限公司, 上海 200051


关键词:二邻域; 局部阈值; 矾花图象; 阈值分割


摘要:

本文提出一种采用二邻域类间方差局部阈值化算法对矾花图像进行分割,实践证明该方法非常有效,能基本解决常规局部阈值分割中出现的问题


Segmentation of alum image based on two adjacent areas part threshold

WANG Xin-zeng1, HUANG Shan1, ZHANG Zhen2, WANG Jian1

1. Department of Electrical and Information Engineering, Sichuan University, Chengdu 610065, China;
2. STMicroelectronics(Shanghai) Co., Ltd. 200051

Abstract: Segmentation algorithm of alum image by variance between two adjacent areas and part threshold is presented in the paper. The results of experiments show that the algorithm is effective, it can resolve the problems of usual segmentation based on part threshold.

Keywords: Two adjacent areas; Part threshold; Alum image; Threshold segmentation

2005, 31(1): 104-106  收稿日期: 2004-6-29;收到修改稿日期: 2004-9-13

基金项目: 

作者简介: 

参考文献

[1] J-C. Olivo, Automatic threshold selection using the wavelet tr an sform[J], CVGIP, 1994, 56:205-218.
[2] Parker J R. Gray Level Thresholding in Badly Illustrated Images IEEE Trans on Pattern Analysis and Machine Intelligence[R], 1991, 13(8):813-819.
[3] Dizenzo S, Cinque L, Levialdi S. Image Thresholding Using Fuzzy Entropies[J]. IEEE Trans on System, Man, and Cy bernetics, B, 1998, 28(1):15-23.
[4] 夏良正.数字图像处理[M].南京:东南大学出版社, 1999, 9.
[5] 李晓春, 等.复杂场景中动目标图像分割的一种快速算法[J].清华大学学报(自然科学版), 1997, 8:19-21.

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