Segmentation and Counting of Granular Objects Based on Morphological Features

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Segmentation and Counting of Granular Objects Based on Morphological Features

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[1]WANG Zhong-yong,JIA Meng,HOU Zhong-xin,et al.Segmentation and Counting of Granular Objects Based on Morphological Features[J].Journal of Zhengzhou University (Engineering Science),2015,36(02):80-84.[doi:10.3969/j.issn.1671-6833.2015.02.018]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 36 Number of periods: 2015 02 Page number: 80-84 Column: Public date: 2015-04-30

Title:: Segmentation and Counting of Granular Objects Based on Morphological Features

Author(s):: WANG Zhong-yong1; JIA Meng1; HOU Zhong-xin2; CHEN Zai-xu2; 1.School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China; 2.Henan Gao-Yuan road maintenance e-quipment Corp., Xinxiang 453000,China

Keywords:: segmentation and counting; watershed algorithm; morphological features; RAG

CLC:: TP391

DOI:: 10.3969/j.issn.1671-6833.2015.02.018

Abstract:: For the task of segmentation and counting of granular objects with low quality images,a new meth-od which based on watershed and morphology is presented. First ,an oversegmented result is gotten by conduc-ting the watershed algorithm to the smoothed image. Then the region merge stage,which is directed by usingthe morphological features defined in this article,as well as weighted Mahalanobis distance and region adja-cency graph (RAG),takes place.Experiments with real images demonstrate the validity of the method,thatit is invariant under translation of gray scale,contrast and noise. And it performs better than any present meth-od ,in terms of precision-recall criterion.

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