Shape Classification and Analysis

This comprehensive guide to shape analysis and classification delivers essential mathematical frameworks for understanding how geometric features define object properties across scientific and technological domains. The book systematically explores computational methods for characterizing shapes, from basic geometric measurements to advanced pattern recognition techniques, providing readers with both theoretical foundations and practical applications. Its detailed approach makes complex spatial analysis concepts accessible while maintaining the mathematical rigor required for serious study in fields ranging from computer vision to materials science.

What sets this work apart is its interdisciplinary scope, bridging pure mathematics with real-world implementation across diverse fields including medical imaging, industrial inspection, and biological morphology. Researchers and graduate students in engineering, computer science, and applied mathematics will find the systematic classification methodologies particularly valuable for developing automated recognition systems and quantitative analysis tools. The book's thorough treatment of both classical and contemporary approaches establishes it as a definitive reference that will shape how professionals approach spatial pattern recognition challenges for years to come.