標題: A Modified Harris Corner Detection for Breast IR Image
作者: Lee, Chia-Yen
Wang, Hao-Jen
Chen, Chung-Ming
Chuang, Ching-Cheng
Chang, Yeun-Chung
Chou, Nien-Shiang
分子醫學與生物工程研究所
Institute of Molecular Medicine and Bioengineering
公開日期: 2014
摘要: Harris corner detectors, which depend on strong invariance and a local autocorrelation function, display poor detection performance for infrared (IR) images with low contrast and nonobvious edges. In addition, feature points detected by Harris corner detectors are clustered due to the numerous nonlocal maxima. This paper proposes a modified Harris corner detector that includes two unique steps for processing IR images in order to overcome the aforementioned problems. Image contrast enhancement based on a generalized form of histogram equalization (HE) combined with adjusting the intensity resolution causes false contours on IR images to acquire obvious edges. Adaptive nonmaximal suppression based on eliminating neighboring pixels avoids the clustered features. Preliminary results show that the proposed method can solve the clustering problem and successfully identify the representative feature points of IR breast images.
URI: http://hdl.handle.net/11536/24964
http://dx.doi.org/10.1155/2014/902659
ISSN: 1024-123X
DOI: 10.1155/2014/902659
期刊: MATHEMATICAL PROBLEMS IN ENGINEERING
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