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A Method for Threshold Selection in Edge Width Detection of Objects in the Image

机译:一种阈值选择在图像中对象的边缘宽度检测方法

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A method for threshold selection to detect edge width of objects in the image was presented. Three order spline wavelet was choosed to complete multiscale wavelet edge detection and wavelet edge module values were obtained. After properties of these data was analyzed, a method for threshold selection was proposed using half of maximum of wavelet edge module values. Edge width of objects in the image was given a defination and can be calculated by area and girth of the transition edge using the threshold selected by the method proposed. Experiment results show that the algorithm is effective and performs better.
机译:呈现了用于检测图像中物体的边缘宽度的阈值选择的方法。三阶样条曲线小波被选择完成多尺度小波边缘检测,并获得小波边缘模块值。在分析了这些数据的性质之后,使用最大小波边缘模块值的一半提出了一种用于阈值选择的方法。给出了图像中的物体的边缘宽度,并且可以使用由所提出的方法选择的阈值来计算通过转换边缘的面积和周长来计算。实验结果表明,该算法是有效的,更好地执行。

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