Trémeau A, Colantoni P
IEEE Trans Image Process. 2000;9(4):735-44. doi: 10.1109/83.841950.
The aim of this paper is to present different algorithms, based on a combination of two structures of graph and of two color image processing methods, in order to segment color images. The structures used in this study are the region adjacency graph and the line graph associated.We will see how these structures can enhance segmentation processes such as region growing or watershed transformation. The principal advantage of these structures is that they give more weight to adjacency relationships between regions than usual methods. Let us note nevertheless that this advantage leads in return to adjust more parameters than other methods to best refine the result of the segmentation.We will show that this adjustment is necessarily image dependent and observer dependent.
本文的目的是提出不同的算法，这些算法基于两种图形结构和两种彩色图像处理方法的组合，用于分割彩色图像。本研究中使用的结构是区域邻接图和相关的线图。我们将看到这些结构如何增强诸如区域生长或分水岭变换等分割过程。这些结构的主要优点是，与常规方法相比，它们更重视区域之间的邻接关系。然而，需要注意的是，这种优势反过来导致比其他方法需要调整更多的参数，以最佳地细化分割结果。我们将表明，这种调整必然依赖于图像和观察者。
