改进MSEL及其医学应用

Huiguang He, Jie Tian, Jing Wang, Hong Chen, X. P. Zhang
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引用次数: 0

摘要

边缘检测是图像处理和分析的基本操作。Cook和Delp(1995)与其他边缘检测方案相比,多分辨率顺序边缘连接(MSEL)具有许多优点,例如在保持边缘完全连接的同时降低误报率。但是,它在初始值选择上不合理,且耗时。针对该问题,我们首先使用各向异性扩散在保持边缘的情况下对图像进行平滑处理,然后使用反馈方法对初始值进行优化。将该方法应用于医学图像,实验结果表明,该方法比传统的MSEL方法更有效、更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved MSEL and its medical application
Edge detection is the basic operation in image processing and analysis. Multiresolution sequential edge linking (MSEL) Cook and Delp (1995) has a number of advantages over other edge detection schemes, such as lower false alarm rates while maintaining full connectivity of the edge. However, it is not reasonable in the initial value selection and is time consuming. For this problem, we first use anisotropic diffusion to smooth the image while keeping the edge, and then use the feedback method to optimize the initial value. We apply our method to a medical image, and experiments show that our method is more efficient and accurate than the old MSEL.
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