Applications of Pulse-Coupled Neural Networks explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields.This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science.Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.
This book explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields.
Applications of Pulse-Coupled Neural Networks explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields.This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science.Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.I. Pulse Coupled Neural Networks.- II. Image filter.- III. Adaptive PCNN Model for Image segment.- IV. Image coding.- V. Image enhancement.- VI. Image fusion.- VII. Feature extraction using entropy.- VIII. Combinatorial Optimization.
From the reviews:
Pulse-coupled neural networks (PCNNs) are based on the nervous system in the eyes of humans and mammals. The book describes various models of PCNNs, and related image processing algorithms. & This bol#$