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An edge-collect method for medical image based on B-Spline wavelet

机译:基于B样条小波的医学图像边缘采集方法

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Edges are the most essential feature of an image. Edge-detection is an important step before 3-D reconstruction of medical image occurs. Because of the miscellaneous variety of medical images, some traditional edge-collect methods are not satisfactory. Utilizing Matlab, a program of edge-collect for medical-image was developed. For its specificity of compact support-set better than Gauss-function, the 3-order B-Spline function was chosen as the base function of wavelet used in this method. The results show that both the quality of the edge image and the treating efficacy are improved by the proposed method, compared with the traditional methods.
机译:边缘是图像的最基本特征。在进行医学图像的3D重建之前,边缘检测是重要的一步。由于医学图像种类繁多,一些传统的边缘收集方法并不令人满意。利用Matlab,开发了医学图像边缘采集程序。由于紧凑支持集的特异性优于高斯函数,因此选择了三阶B样条函数作为该方法中使用的小波基函数。结果表明,与传统方法相比,该方法不仅提高了边缘图像的质量,而且提高了治疗效果。

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