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A New Approach for Object Boundary Extraction Based on Heuristic Search

机译:基于启发式搜索的目标边界提取新方法

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This paper presents a boundary extraction algorithm for endoscopic images based on a d-ual step process. Firstly, a highly accurate and effective detection of the lumen region is performed by modified Iris filter which can enhance and detect the vague boundaries greatly. Then a new boundary extraction algorithm based on a heuristic search approach on the neighborhood pixels is employed to obtain a connected single pixel width outer boundary. It uses 2 preferential sequence windows. By using a set of heuristic rules, each window can change the priority of neighborhoods adaptively according to the irregular directions of the outer boundary, and thus to detect the boundary pixel correctly. The results of the experiments are presented to verify the effectiveness of the proposed technique.
机译:本文提出了一种基于双步过程的内窥镜图像边界提取算法。首先,通过改进的虹膜滤波器对管腔区域进行高精度和有效的检测,该虹膜滤波器可以大大增强和检测模糊边界。然后采用一种新的基于启发式搜索方法的邻域像素边界提取算法,以获得连通的单个像素宽度的外边界。它使用2个优先顺序窗口。通过使用一组启发式规则,每个窗口可以根据外边界的不规则方向自适应地更改邻域的优先级,从而正确检测边界像素。实验结果被提出来验证所提出的技术的有效性。

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