Image contour extraction based on ant colony algorithm and B-snake

Authors:
Jinjiang Li
Affiliations:
School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

Citing 7
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Abstract

In this paper, we present a novel image contour extraction by ant colony algorithm and B-snake model. Using ant colony algorithm, an initial curve of B-snake is get, which rapidly converging near image edge. When the Bsnake begins to iterate, new control points are inserted, which can enhance the flexibility of B-snake to describe complex shape. A minimum energy method minimum mean square error (MMSE) is proposed for B-snake to push it to the target boundary. The experimental results demonstrate the efficiency and accuracy of our method.