TY  - CHAP
AU  - Pan Fu
AU  - A. D. Hope
ED  - Peng-Yeng Yin
Y1  - 2008-11-01
PY  - 2008
T1  - A Hybrid Pattern Recognition Architecture for Cutting Tool Condition Monitoring
N2  - A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition 
process. Effective visual features are made possible through the rapid developments in 
appropriate sensor equipments, novel filter designs, and viable information processing 
architectures. While the understanding of human-brain cognition process broadens the way 
in which the computer can perform pattern recognition tasks. The present book is intended 
to collect representative researches around the globe focusing on low-level vision, filter 
design, features and image descriptors, data mining and analysis, and biologically inspired 
algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in 
promoting the techniques, technology and applications of pattern recognition.
BT  - Pattern Recognition
SP  - Ch. 24
UR  - https://doi.org/10.5772/6258
DO  - 10.5772/6258
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-18
ER  -