Journal
JOURNAL OF DIGITAL IMAGING
Volume 22, Issue 3, Pages 259-274Publisher
SPRINGER
DOI: 10.1007/s10278-008-9129-9
Keywords
Microscopic image; nuclei segmentation; region of interest (ROI); adaptive attention window (AAW); quad-tree; region-based image retrieval
Funding
- Korea Evaluation Institute of Industrial Technology (KEIT) [B0008463] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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.
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