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基于两步几何主动轮廓的快速图像分割 总被引：2，自引：0，他引：2
A fast two-stage geometric active contour algorithm for image segmentation is developed. First, the Eikonal equation problem is quickly solved using an improved fast sweeping method, and a criterion of local minimum of area gradient (LMAG) is presented to extract the optimal arrival time. Then, the final time function is passed as an initial state to an area and length minimizing flow model, which adjusts the interface more accurately and prevents it from leaking. For object with complete and salient edge, using the first stage only is able to obtain an ideal result, and this results in a time complexity of O(M), where M is the number of points in each coordinate direction. Both stages are needed for convoluted shapes, but the computation cost can be drastically reduced. Efficiency of the algorithm is verified in segmentation experiments of real images with different feature. 相似文献
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课程体系是改进和保障教育质量的关键要素之一。针对自动化学科发展对人才培养模式所提出的最新问题,介绍了湖南大学自动化专业的课程体系现状,具体分析了课程体系与工程教育认证标准的吻合度课程设置具体情况、实践教学体系设置情况、毕业设计(论文)设置等。最后对自动化专业课程体系建设提出了若干思考。 相似文献
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