基于种子区域生长分割的边界像素

Mingshan Zhang, Jian Huang, Yudi Pawitanm
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引用次数: 1

摘要

边界像素会对种子区域生长算法的性能产生细微但严重的影响[j]。Adams et al.(1994)],一种用于强度图像分割的快速半自动算法。然而,我们发现,正如最初描述的那样,如果连接段的某些部分很窄,该算法可能会失败。失败的结果,例如,在细节的损失或过分依赖种子放置。补救方法是对边界像素进行仔细处理。本文提出了一种不受这种情况影响的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On boundary pixels in seeded region growing segmentation
Boundary pixels can have a subtle but serious impact on the performance of the seeded region growing algorithm [R. Adams et al. (1994)], a fast semiautomatic algorithm for segmentation of intensity images. We have found, however, that as originally described the algorithm can fail if some sections of a connected segment is narrow. The failure results, for example, in a loss of details or an undue dependence of seed placement. The remedy is a careful processing of the boundary pixels. We here present an algorithm whose performance is not affected by such situation.
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