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THINNING APPROACH FOR NOISY DIGITAL PATTERNS

机译:嘈杂的数字图案的稀疏方法

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摘要

Many problems difficult to solve by traditional computer algorithms can be explored by the principles of human visual perception. From the hint of human visual symmetry, a thinning approach for noisy digital patterns is presented in this paper. It includes three main algorithms. Algorithm 1 is designed to find the effective circular range, for each pixel, containing the maximum effective information. Algorithm 2 is designed to compute the symmetry score of the pixel distribution in the circular range and convert the symmetry information into a gray-scale image. Algorithm 3 provides a modified gray-scale thinning algorithm for thinning the gray-scale image to obtain a connected thin line. Experiments show that the thinning results obtained by the proposed method are properly acceptable when SNR greater than or equal to 2.2 dB and the connectedness of the thin line can be preserved. Copyright (C) 1996 Pattern Recognition Society. [References: 31]
机译:可以通过人类视觉感知原理来探索许多传统计算机算法难以解决的问题。从人类视觉对称性的暗示出发,本文提出了一种用于噪声数字图案的细化方法。它包括三个主要算法。算法1旨在为每个像素找到包含最大有效信息的有效圆形范围。算法2设计为计算圆形范围内像素分布的对称性得分,并将对称性信息转换为灰度图像。算法3提供了一种改进的灰度细化算法,用于细化灰度图像以获得连接的细线。实验表明,当信噪比大于或等于2.2 dB时,通过该方法获得的细化结果是可以接受的,并且可以保持细线的连接性。版权所有(C)1996模式识别学会。 [参考:31]

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