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图像过渡区直接提取与分割快速算法
引用本文:闫成新,孙亮.图像过渡区直接提取与分割快速算法[J].郑州大学学报(理学版),2006,38(4):74-77.
作者姓名:闫成新  孙亮
作者单位:中国石油大学(华东)机电工程学院,山东,东营,257061
基金项目:石油大学校科研和教改项目;山东省东营市科技攻关项目
摘    要:以往的过渡区直接提取与分割算法速度较慢,抗噪性差.提出将一种局部复杂度参数用于图像过渡区提取与分割算法,实验结果表明,算法运算速度快,抗噪性好,且不存在小样本问题,易于硬件实现.

关 键 词:图像分割  局部复杂度  过渡区  阈值
文章编号:1671-6841(2006)04-0074-04
收稿时间:05 1 2006 12:00AM
修稿时间:2006年5月1日

Fast Algorithm on Image Transition Region Direct Extraction and Segmentation
YAN Cheng-xin,SUN Liang.Fast Algorithm on Image Transition Region Direct Extraction and Segmentation[J].Journal of Zhengzhou University:Natural Science Edition,2006,38(4):74-77.
Authors:YAN Cheng-xin  SUN Liang
Affiliation:1. School of Electromechanical ,China University of Petroleum, Dongying 257061, China; School of Chemistry and Chemical, China University of Petroleum, Dongying 257061,China
Abstract:Traditional transition region extraction and image segmentation methods have drawbacks such as low computational speed,and sensitivity to noise.A novel local complexity based transition region extraction and segmentation method(LCTREM) is presented.Experimental results demonstrate that LC-TREM is much faster than traditional local entropy based method,and LC-TREM has good ability to deal with noise.LC-TREM has no small sample problem,and is easy to be achieved by hardware.
Keywords:image segmentation  local complexity  transition region  threshold
本文献已被 CNKI 维普 万方数据 等数据库收录!
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