TY - CHAP A1 - Luciano Cássio Lulio A2 - Mário Luiz Tronco A3 - Arthur José Vieira Porto A4 - Carlos Roberto Valêncio A5 - Rogéria Cristiane Gratão de Souza ED1 - Pei-Gee Peter Ho Y1 - 2012-10-24 PY - 2012 T1 - Cognitive and Statistical Pattern Recognition Applied in Color and Texture Segmentation for Natural Scenes N2 - The field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text. This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing. BT - Advances in Image Segmentation SP - Ch. 5 UR - https://doi.org/10.5772/51862 DO - 10.5772/51862 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-08-05 ER -