A Dynamic Programming Based Algorithm for Optimal Edge Detection in Medical Images

Authors:
Bin Lee;Jia-yong Yan;Tian-ge Zhuang
Affiliations:
-;-;-
Venue:
MIAR '01 Proceedings of the International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
Year:
2001

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Abstract

Abstract: This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.