TY  - CHAP
AU  - Luciano Cássio Lulio
AU  - Mário Luiz Tronco
AU  - Arthur José Vieira Porto
AU  - Carlos Roberto Valêncio
AU  - Rogéria Cristiane Gratão de Souza
ED  - 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  - 2024-05-04
ER  -