| 一种边界-区域相结合的图像分割算法 |
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| 引用本文： | 罗胜,陈平,叶忻泉,沈龙. 一种边界-区域相结合的图像分割算法[J]. 光电工程, 2008, 35(12): 101-106 |
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| 作者姓名： | 罗胜 陈平 叶忻泉 沈龙 |
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| 作者单位： | 温州大学机电工程学院,浙江,温州,325035上海大学机电工程与自动化学院,上海,200072;北京师范大学信息网络中心,北京,100875;温州大学机电工程学院,浙江,温州,325035;上海大学机电工程与自动化学院,上海,200072 |
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| 基金项目： | 国家重点学科 ， 上海市重点学科(B67)资助项目;温州大学科研资助项目 |
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| 摘 要： | 提出了一种模仿人类视觉机制的区域-细节的图像分割算法.首先提取图像边缘,然后将边缘分段切割,得到端点集合,然后从端点集合生成Delaunay三角形网络,以Delatmay三角形为顶点,相邻三角形的属性差异作为边的权重,构造图;9以基于图的分割算法生成最小生成树,划分区域.最后用Snake模型精确确定区域边界,生成准确的区域边缘.实验证明,这种区域分割和边缘检测相结合的方法能准确地分割非纹理图像,较好地克服了块现象和非连续边界,相比单一区域分割或者边缘检测方法有更好的分割结果,并且计算速度比较快.
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| 关 键 词： | 图像分割 边缘检测 Delatmay三角形 最小生成树 Snake模型 |
| 收稿时间： | 2008-07-04 |
Image Segmentation Algorithm Based on Region Segmentation and Edge Detection |
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| LUO Sheng,CHEN Ping,YE Xin-quan,SHEN Long. Image Segmentation Algorithm Based on Region Segmentation and Edge Detection[J]. Opto-Electronic Engineering, 2008, 35(12): 101-106 |
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| Authors: | LUO Sheng CHEN Ping YE Xin-quan SHEN Long |
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| Affiliation: | LUO Sheng1,2,CHEN Ping 3,YE Xin-quan1,SHEN Long2(1.School of Mechanical & Electrical Engineering,Wenzhou University,Wenzhou 325035,Zhejiang Province,China,2.College of Mechatronics Engineering , Automation,Shanghai University,Shanghai 200072,3.Center of Information & Network Technology,Beijing Normal University,Beijing 100875,China) |
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| Abstract: | An approach for image segmentation is introduced based on region segmentation and edge detection.Edges are first detected in the original image and then cut equidistantly into some segmentations,and the end points of segmentations are gathered into a points set.A constrained Delaunay triangulation is yielded from the points set and then a graph is attained too.Graph cut,Minimum Spanning Tree(MST),is performed.Finally,the obtained regions are projected into the original image and region boundaries are refine... |
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| Keywords: | image segmentation edge detection Delaunay triangulation minimum spanning tree Snake model |
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