Microscopic Cell Nuclei Segmentation Based on Adaptive Attention Window



This paper presents an adaptive attention window (AAW)-based microscopic cell nuclei segmentation method. For semantic AAW detection, a luminance map is used to create an initial attention window, which is then reduced close to the size of the real region of interest (ROI) using a quad-tree. The purpose of the AAW is to facilitate background removal and reduce the ROI segmentation processing time. Region segmentation is performed within the AAW, followed by region clustering and removal to produce segmentation of only ROIs. Experimental results demonstrate that the proposed method can efficiently segment one or more ROIs and produce similar segmentation results to human perception. In future work, the proposed method will be used for supporting a region-based medical image retrieval system that can generate a combined feature vector of segmented ROIs based on extraction and patient data.

Key words

Microscopic image nuclei segmentation region of interest (ROI) adaptive attention window (AAW) quad-tree region-based image retrieval 


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Copyright information

© Society for Imaging Informatics in Medicine 2008

Authors and Affiliations

  1. 1.Shindang-dong Dalseo-gu, Department of Computer EngineeringKeimyung UniversityDaeguSouth Korea

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