TY  - CHAP
AU  - P. K. Nanda
AU  - Sucheta Panda
ED  - Pei-Gee Peter Ho
Y1  - 2012-10-24
PY  - 2012
T1  - Constrained Compound MRF Model with Bi-Level Line Field for Color Image Segmentation
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. 4
UR  - https://doi.org/10.5772/50475
DO  - 10.5772/50475
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-05-11
ER  -