Soft Computing Approach to Pattern Classification and Object Recognition: A Unified Concept

✍ Scribed by Kumar S. Ray (auth.)

• Publisher: Springer-Verlag New York
• Year: 2012
• Tongue: English
• Leaves: 179
• Edition: 1
• Category: Library

✦ Synopsis

Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classification and computer vision. Other academics and practitioners will also find the book valuable.

✦ Table of Contents

Front Matter....Pages i-xii
Soft Computing Approach to Pattern Classification and Object Recognition....Pages 1-14
Pattern Classification Based on Conventional Interpretation of MFI....Pages 15-41
Pattern Classification Based on New Interpretation of MFI....Pages 43-59
Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm....Pages 61-76
Neuro-Genetic Approach to Pattern Classification Based on the New Interpretation of MFI....Pages 77-100
Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm....Pages 101-120
Neuro-Fuzzy Approach to Occluded Object Recognition Based on New Interpretation of MFI....Pages 121-146
Back Matter....Pages 147-173

✦ Subjects

Image Processing and Computer Vision; Signal, Image and Speech Processing; Artificial Intelligence (incl. Robotics)