Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Color Topographic Map Based on the Dichromatic Reflectance Model | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 824195 14 pages doi 2008 824195 Research Article A Color Topographic Map Based on the Dichromatic Reflectance Model Michele Gouiffesand Bertrand Zavidovique Institut d Electronique Fondamentale CNRS UMR 8622 Universite Paris-Sud 11 91405 ORSAY Cedex France Correspondence should be addressed to Michele Gouiffes Received 19 July 2007 Accepted 21 January 2008 Recommended by Konstantinos Plataniotis Topographic maps are an interesting alternative to edge-based techniques common in computer vision applications. Indeed unlike edges level lines are closed and less sensitive to external parameters. They provide a compact geometrical representation of images and they are to some extent robust to contrast changes. The aim of this paper is to propose a novel and vectorial representation of color topographic maps. In contrast with existing color topographic maps it does not require any color conversion. For this purpose our technique refers to the dichromatic reflectance model which explains the distribution of colors as the mixture of two reflectance components related either to the body or to the specular reflection. Thus instead of defining the topographic map along the sole luminance direction in the RGB space we propose to design color lines along each dominant color vector from the body reflection. Experimental results show that this approach provides a better tradeoff between the compactness and the quality of a topographic map. Copyright 2008 M. Gouiffes and B. Zavidovique. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION According to the morphology concepts 1 the most relevant information of an image is provided by the level sets independently of their .
