Boundary Chain Code Implementation from Gonzalez's Digital Image Processing

This program implements the boundary chain code technique from Gonzalez's Digital Image Processing book, utilizing a grid-based approach to minimize encoded data volume. Boundary chain code is a fundamental technique for representing image boundaries by encoding the positional information of boundary pixels into a sequence of numerical values, enabling efficient boundary representation and analysis. The encoding mechanism effectively reduces data storage requirements and enhances image processing efficiency. Gonzalez's textbook provides comprehensive coverage of boundary chain code principles and implementation methodologies. Through studying these concepts, developers can better understand core digital image processing techniques. The implementation typically involves scanning boundary pixels and assigning directional codes (usually 4 or 8-direction Freeman codes) to represent movement between adjacent boundary points. Key functions would include boundary tracing algorithms and chain code normalization procedures to ensure rotation-invariant representation.