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结合JSEG与分水岭方法的彩色图像分割
引用本文:孙卫芳,段智勇,朱仲杰.结合JSEG与分水岭方法的彩色图像分割[J].计算机工程与应用,2010,46(21):185-187.
作者姓名:孙卫芳  段智勇  朱仲杰
作者单位:1.郑州大学 物理工程学院,郑州 450001 2.浙江万里学院 宁波市数字信号处理(DSP)重点实验室,浙江 宁波 315100
基金项目:国家自然科学基金,浙江省自然科学基金,宁波市自然科学基金,宁波市重点实验室开放基金 
摘    要:针对JSEG算法在分割过程中需要在多个尺度下反复进行局部J值计算和区域生长,分割过程繁琐、算法复杂度高的不足,提出一种结合分水岭与JSEG的图像分割新算法。新算法在计算得到图像J图后,通过引入分水岭算法直接对J图进行空域分割,在基本保证良好分割效果的前提下,有效降低了原JSEG算法的复杂度、提高了分割效率。

关 键 词:图像分割  静态图像压缩标准(JSEG)算法  分水岭算法  区域合并  
收稿时间:2009-8-14
修稿时间:2009-11-18  

Color image segmentation based on JSEG and watershed methods
SUN Wei-fang,DUAN Zhi-yong,ZHU Zhong-jie.Color image segmentation based on JSEG and watershed methods[J].Computer Engineering and Applications,2010,46(21):185-187.
Authors:SUN Wei-fang  DUAN Zhi-yong  ZHU Zhong-jie
Affiliation:1.Physical Engineering College,Zhengzhou University,Zhengzhou 450001,China 2.Ningbo Key Lab of Digital Signal Processing(DSP),Zhejiang Wanli University,Ningbo,Zhejiang 315100,China
Abstract:The JSEG is a classic algorithm for color image segmentation.However,it need iterate computing the local J-values and performing region growing under predefined multiple scales,which makes the segmentation process complex and computationally expensive.Hence,to overcome this drawback,a novel method based on joint JSEG and watershed technologies is proposed.The new method implements spatial segmentation for only once with the watershed algorithm after the J-image is acquired,which can effectively reduce the computational load while keeping good perceptual results.Thus,the segmentation efficiency is improved.
Keywords:image segmentation  Joint Systems Engineering Group(JSEG) algorithm  watershed algorithm  region merging
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