Dept. of Signal Theory and Commun., Univ. Politecnica de Catalunya, Barcelona.
IEEE Trans Image Process. 1996;5(6):881-98. doi: 10.1109/83.503906.
This paper deals with the use of some morphological tools for image and video coding. Mathematical morphology can be considered as a shape-oriented approach to signal processing, and some of its features make it very useful for compression. Rather than describing a coding algorithm, the purpose of this paper is to describe some morphological tools that have proved attractive for compression. Four sets of morphological transformations are presented: connected operators, the region-growing version of the watershed, the geodesic skeleton, and a morphological interpolation technique. The authors discuss their implementation, and show how they can be used for image and video segmentation, contour coding, and texture coding.
本文探讨了一些形态学工具在图像和视频编码中的应用。数学形态学可以被视为一种面向形状的信号处理方法,其一些特性使其非常适用于压缩。本文的目的不是描述一种编码算法,而是描述一些已被证明对压缩有吸引力的形态学工具。本文介绍了四组形态学变换:连通运算符、分水岭的区域生长版本、测地线骨架和形态学插值技术。作者讨论了它们的实现,并展示了它们如何用于图像和视频分割、轮廓编码和纹理编码。