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학술지 Similarity Measurement for Breast Medical Image Retrieval System with Hybrid Object Based Approach
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저자
Hyun I. Kim, Sung Y. Shin, Wei Wang, 전순익, 손성호
발행일
201308
출처
Information : An International Interdisciplinary Journal, v.16 no.8(B), pp.6269-6278
ISSN
1343-4500
출판사
International Information Institute
협약과제
13PR2600, 전자파 이용 조기진단 고정밀 MT 시스템 개발, 전순익
초록
In this paper, we propose a new binary pixel matching method to measure the similarity of two objects based on the overlapped areas in a data warehouse. In the proposed approach, suspicious tumor objects are extracted as binary images that consist of background and foreground, which are compared based on counting overlapped pixels. Prior to measuring the exact similarity between two objects, a pre-processing stage is performed by calculating the difference in the shape index, performing rotation normalization, and estimating accurate similarity when the difference in the shape index is less than 50%. The results demonstrate that the proposed approach can significantly improve both the accuracy of similarity measurement and the performance of computational speed, when compared with traditional content based image retrieval method approaches that measure the similarity based on contours. © 2013 International Information Institute.
키워드
Object based image retrieval, Pixel matching, Similarity measure
KSP 제안 키워드
Based Approach, Computational Speed, Data WareHouse, Medical Image Retrieval, Pixel matching, Pre-processing, Rotation normalization, Shape index, Similarity Measurement, binary image, content based image retrieval method