tailieunhanh - Báo cáo hóa học: " Research Article Logarithmic Adaptive Neighborhood Image Processing (LANIP): Introduction, Connections to Human Brightness Perception, and Application Issues"

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 Logarithmic Adaptive Neighborhood Image Processing (LANIP): Introduction, Connections to Human Brightness Perception, and Application Issues | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 36105 22 pages doi 2007 36105 Research Article Logarithmic Adaptive Neighborhood Image Processing LANIP Introduction Connections to Human Brightness Perception and Application Issues . Pinoli and J. Debayle Ecole Nationale Superieure des Mines de Saint-Etienne Centre Ingenierie et Sante CIS Laboratoire LPMG UMR CNRS 5148 158 cours Fauriel 42023 Saint-Etienne Cedex2 France Received 29 November 2005 Revised 23 August 2006 Accepted 26 August 2006 Recommended by Javier Portilla A new framework for image representation processing and analysis is introduced and exposed through practical applications. The proposed approach is called logarithmic adaptive neighborhood image processing LANIP since it is based on the logarithmic image processing LIP and on the general adaptive neighborhood image processing GANIP approaches that allow several intensity and spatial properties of the human brightness perception to be mathematically modeled and operationalized and computationally implemented. The LANIP approach is mathematically computationally and practically relevant and is particularly connected to several human visual laws and characteristics such as intensity range inversion saturation characteristic Webers and Fechners laws psychophysical contrast spatial adaptivity multiscale adaptivity morphological symmetry property. The LANIP approach is finally exposed in several areas image multiscale decomposition image restoration image segmentation and image enhancement through biomedical materials and visual imaging applications. Copyright 2007 . Pinoli and J. Debayle. 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 In its broad acceptation 1 the notion of processing an image involves the