Hough Transform Implementation in Image Processing

In image processing, the Hough Transform represents a widely used technique. This implementation utilizes MATLAB programming language to develop Hough Transform functionality without relying on MATLAB's predefined functions. This approach enables readers to deeply understand both the fundamental principles and practical implementation aspects of Hough Transform, thereby enhancing their mastery of this technology. Beyond covering the basic theory of Hough Transform, this document demonstrates how to implement the algorithm in MATLAB while discussing optimization techniques. The implementation includes key components such as edge detection preprocessing, parameter space initialization, accumulator array management, and peak detection algorithms. Additionally, this work explores practical applications of Hough Transform and demonstrates how to apply this technique to solve real-world problems in various scenarios. Through studying this material, readers will gain comprehensive understanding and practical skills in Hough Transform methodology, including hands-on experience with algorithm development and parameter tuning.