AAW-based Cell Image Segmentation Method 


Vol. 14,  No. 2, pp. 99-106, Apr.  2007
10.3745/KIPSTB.2007.14.2.99


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  Abstract

In this paper, we present an AAW(Adaptive Attention Window)-based cell image segmentation method. For semantic AAW detection, we create an initial Attention Window by using a luminance map. Then the initial AW is reduced to the optimal size of the real ROI(Region of Interest) by using a quad-tree segmentation. The purpose of AAW is to remove the background and to reduce the amount of processing time for segmenting ROIs. Finally, region segmentation is performed within the AAW and region clustering and removing are executed for segmenting only ROIs. Experimental results show that the proposed method segments one or more ROIs efficiently and gives the similar segmentation result as compared with the human perception.

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[IEEE Style]

M. S. Seo, B. C. Ko, J. Y. Nam, "AAW-based Cell Image Segmentation Method," The KIPS Transactions:PartB , vol. 14, no. 2, pp. 99-106, 2007. DOI: 10.3745/KIPSTB.2007.14.2.99.

[ACM Style]

Mi Suk Seo, Byoung Chul Ko, and Jae Yeal Nam. 2007. AAW-based Cell Image Segmentation Method. The KIPS Transactions:PartB , 14, 2, (2007), 99-106. DOI: 10.3745/KIPSTB.2007.14.2.99.

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