Object Segmentation Using Block Based Patterns

被引：0

作者：

Hasan, M. Mahmudul ^{[1
]}

Ali, M. Ameer ^{[1
]}

Kabir, M. Humayun ^{[2
]}

Sorwar, G. ^{[3
]}

机构：

[1] East West Univ, Dept CSE, Dhaka, Bangladesh

[2] Bangladesh Univ Engn & Technol, Dept CSE, Dhaka, Bangladesh

[3] Southern Cross Univ, Sch Commerce & Management, Lismore, NSW 2480, Australia

来源：

TENCON 2009 - 2009 IEEE REGION 10 CONFERENCE, VOLS 1-4 | 2009年

关键词：

Image segmentation; split-and-merge; region stability; pattern matching; micro-blocks; video coding; ALGORITHM;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Segmenting homogeneous regions or objects in an image are very much demanding but challenging. Pattern based object segmentation using split and merge (PSM) was proposed to overcome the problems of basic split and merge (SM) algorithm, which is unable to segment properly all types of objects in an image due to huge variations among the objects in size, shape, intensity and orientation. Though the PSM algorithm has better performance than some other image segmentation algorithms, it is completely unable to segment the connected regions in an image and also has higher rate of shape distortion. Addressing these issues, a new algorithm namely object segmentation using block based patterns (OSP) is proposed in this paper considering multi stage merging technique. Experimental results show that the OSP algorithm is not only capable of segmenting connected regions in an image but also yield quite low shape distortion of the regions.

引用

页码：1375 / +

页数：2

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