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Narrow band approach to local level set segmentation by the Mumford-Shah model. (Chinese. English summary) Zbl 1174.68760

Summary: Based on a level set method, we deduce a general form of energy function for the Mumford-Shah model, in which the gradient feature is introduced. We propose a new local level set based segmentation approach, which can improve the convergence velocity and avoid the influence of irrelevant edges. A narrow band algorithm is also designed to overcome the complex initialization of the classical level set approach. Combined with the narrow band algorithm, the proposed segmentation approach can obtain local optimal results in clutter. With the Otsu operator to locate interested targets, the approach proposed can segment multiple targets with different features. Experiments demonstrate that the approach is efficient in computation and is effective in target segmentation in clutter and in multiple targets segmentation.

MSC:

68U10 Computing methodologies for image processing
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