Topology-Preserving Deformations of Two-Valued Digital Pictures

Azriel Rosenfeld , T.Yung Kong , Akira Nakamura
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引用次数: 48

Abstract

In a two-valued digital picture (in brief: “image”), it is well known that changing a “simple” pixel from 1 to 0 or vice versa preserves the topology of the image—specifically, it preserves the adjacency/surroundedness relations between the connected components of 0's and 1's. We prove here that the converse is also true: Any two topologically equivalent images can be transformed into one another by changes in the values of simple pixels. As a preliminary, we show how an image can be magnified by an arbitrary integer factor, or translated along an arbitrary path, or rendered “well-composed,” by repeatedly changing the values of simple pixels. The relationship between the simple pixel method and other types of “topology-preserving” deformations of images is also briefly discussed.

二值数字图像的拓扑保持变形
在二值数字图像(简而言之:“图像”)中,众所周知,将“简单”像素从1更改为0或反之亦然,将保留图像的拓扑结构-具体而言,它保留0和1的连接组件之间的邻接/包围关系。我们在这里证明了反过来也是成立的:任何两个拓扑等价的图像都可以通过改变简单像素的值来相互转换。作为初步介绍,我们将展示如何通过任意整数因子放大图像,或沿着任意路径平移图像,或通过反复更改简单像素的值来呈现“良好组合”图像。本文还简要讨论了简单像素法与其他类型的“拓扑保持”图像变形之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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