Journal of the Korean Institute of Telematics and Electronics (대한전자공학회논문지)
- Volume 27 Issue 4
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- Pages.590-597
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- 1990
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- 1016-135X(pISSN)
Context Dependent Feature Point Detection in Digital Curves
Context를 고려한 디지털 곡선의 특징점 검출
Abstract
To represent shape characteristics of digital closed curve, many algorithms, mainly based on local properties, have been proposed. In this paper, we propose a new algorithm for detecting local curvature maxima which reflects context, i.e., structural or surrounding regional characteristics. The algorithm does not require the value of k as an input parameter which is the major problem in k-curvature method in digital curve, but calculates it at each point depening on the context. The algorithm has been applied to two dimensional image boundaries. The efficiency of the algorithm is addressed by comparing the result of existing contest dependent algorithm.
Keywords