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: Editorial Machine Learning in Image Processing | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 927950 2 pages doi 2008 927950 Editorial Machine Learning in Image Processing Olivier Lezoray 1 Christophe Charrier 1 Hubert Cardot 2 and Sébastien Lefevre3 1 GREYC UMR CNRS 6072 ENSICAEN Universite de Caen Basse-Normandie 6 Boulevard du Marechal Juin 14050 Caen cedex France 2 Pattern Recognition and Image Analysis Team Computer Science Laboratory LI Universite Francois Rabelais de Tours 64 avenue Jean Portalis 37200 Tours France 3 Models Images Vision MIV Team Image Sciences Computer Sciences and Remote Sensing Laboratory LSIIT Universite Louis Pasteur de Strasbourg Pole API Bd. Brant BP 10413 67412 Illkirch France Correspondence should be addressed to Olivier Lezoray Received 29 May 2008 Accepted 29 May 2008 Copyright 2008 Olivier Lezoray et al. 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. BACKGROUND AND MOTIVATION Images have always played an important role in human life since vision is probably human beings most important sense. As a consequence the field of image processing has numerous applications medical military etc. . Nowadays and more than ever images are everywhere and it is very easy for everyone to generate a huge amount of images thanks to the advances in digital technologies. With such a profusion of images traditional image processing techniques have to cope with more complex problems and have to face their adaptability according to human vision. With vision being complex machine learning has emerged as a key component of intelligent computer vision programs when adaptation is needed . face recognition . With the advent of image datasets and benchmarks machine learning and image processing have recently received a lot of attention. An .
