New method of segmentation using color component

Digital Image Processing allows to manipulate color images as conveniently and easily as monochrome images; color images may be represented in three different color formats, allowing to select the most appropriate format for any color processing application. In this work we based on the color system named Cl, C2 and C3 the modified components, developed by Baez Rojas, et al. These components were digitally obtained, with this technique, it is possible to calculate the modified components skeleton, during the segmentation process for arbitrary images; we named CR1 CR2 and CR3 these components. Precision of segmentation was improved by processing individual components with each skeleton component separately and correcting within the software the noise aroused during the thresholding segmentation process and for the obtain the information retrieval and the improvement of the images a brightness and contrast filters are used; the filters were applied to the region of the image that at first did not show information, for this procedure we used one mask. The aim of the System described in this paper is to segment and to recover information in images. The proposed algorithm was applied to the coal macerals images. The technique is able to separate the maceral from the background resin without loss of information. The method is possibly more effective than other used in previous articles.