[1]盛仲飙.基于对比度增强的分水岭分割算法[J].计算机技术与发展,2012,(12):90-92.
　SHENG Zhong-biao.Watershed Segmentation Algorithm Based on Contrast Enhancement[J].,2012,(12):90-92.
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基于对比度增强的分水岭分割算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年12期
页码:
90-92
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Watershed Segmentation Algorithm Based on Contrast Enhancement
文章编号:
1673-629X（2012）12-0090-03
作者:
盛仲飙
渭南师范学院 数学与信息科学学院 计算机网络工程技术中心
Author(s):
SHENG Zhong-biao
Center of Computer Network Engineering, College of Mathematics and Information Science, Weinan Teachers University
关键词:
图像分割; 分水岭算法; 过分割; 数学形态学; Matlab
Keywords:
image segmentation;  watershed algorithm;  over-segmentation;  mathematical morphology ;  Matiab
分类号:
TP399
文献标志码:
A
摘要:
图像分割是一种特殊的图像技术，也是一种关键的图像分析技术。文中论述了图像分割在图像处理中的重要作用及好的分割方法的评价标准，探讨了分水岭算法的原理及应用。针对分水岭算法容易产生过分割的问题，首先运用形态学中的基本运算对原始图像进行预处理以增加图像对比度，然后利用分水岭算法分割检测目标，最后利用Matlab工具箱函数仿真。实验结果表明，与改进前的分水岭算法相比，该方法简单有效，可以获得更加符合人的视觉特性的分割效果
Abstract:
Image segmentation is a special image technology, and also is a kind of key technique of image analysis. It discusses the impor tant role of the image segmentation in image processing and good segmentation evaluation criterion. And then it introduces the principles and application of watershed algorithm. For watershed algorithm is vulnerable to the problems of over split, the application of morphological opening and closing operation is performed on the original image processing to increase image contrast first. Then use the watershed algorithm to detect the target segmentation. Finally ,Matlab toolbox function simulation is used to test the improved algorithm. The experi ment results show that compared with watershed algorithm before improvement,this method is simple and effective and it can obtain more consistent with human vision character segmentation

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备注/Memo

备注/Memo:
陕西省教育科研计划项目（1lJk0485）盛仲飙（1974-），女，讲师，硕士，研究方向为基于网络的计算机应用技术、数字图像处理
更新日期/Last Update: 1900-01-01