Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo hóa học: " Color Histograms Adapted to Query-Target Images for Object Recognition across Illumination Changes"

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: Color Histograms Adapted to Query-Target Images for Object Recognition across Illumination Changes | EURASIP Journal on Applied Signal Processing 2005 14 2164-2172 2005 Hindawi Publishing Corporation Color Histograms Adapted to Query-Target Images for Object Recognition across Illumination Changes Damien Muselet Laboratoire LAGIS UMR CNRS 8146 Universite des Sciences et Technologies de Lille Cite Scientifique Batiment P2 59655 Villeneuve d Ascq France Email dm@i3d.univ-lille1.fr Ludovic Macaire Laboratoire LAGIS UMR CNRS 8146 Universite des Sciences et Technologies de Lille Cite Scientifique Batiment P2 59655 Villeneuve d Ascq France Email ludovic.macaire@univ-lille1.fr Jack-Gerard Postaire Laboratoire LAGIS UMR CNRS 8146 Universite des Sciences et Technologies de Lille Cite Scientifique Batiment P2 59655 Villeneuve d Ascq France Email jack-gerard.postaire@univ-lille1.fr Received 14 January 2004 Revised 24 November 2004 Most object recognition schemes fail in case of illumination changes between the color image acquisitions. One of the most widely used solutions to cope with this problem is to compare the images by means of the intersection between invariant color histograms. The main originality of our approach is to cope with the problem of illumination changes by analyzing each pair of query and target images constructed during the retrieval instead of considering each image of the database independently from each other. In this paper we propose a new approach which determines color histograms adapted to each pair of images. These adapted color histograms are obtained so that their intersection is higher when the two images are similar than when they are different. The adapted color histograms processing is based on an original model of illumination changes based on rank measures of the pixels within the color component images. Keywords and phrases color object recognition illumination adapted color histograms rank measures. 1. INTRODUCTION 1.1. Object recognition by color histogram analysis Object searching in a database of color images which is aparticular .