Threshold Segmentation Source Code with Implementation Details

I have developed a threshold segmentation source program in Chinese and would like to share it to help better understand this technique. Threshold segmentation is a fundamental image processing method that separates images into distinct regions by setting specific threshold values. This algorithm finds applications across various domains including medical imaging analysis and computer vision systems. The provided source code demonstrates core implementation aspects: histogram analysis for optimal threshold selection, pixel classification using logical operations, and region boundary detection. Key functions include adaptive threshold calculation, binary image generation, and morphological operations for post-processing. Through this program, you can study the complete threshold segmentation workflow, modify parameters for different image characteristics, and optimize the algorithm based on specific requirements such as noise reduction or edge preservation. This implementation serves as a practical foundation for academic research and industrial applications in digital image processing.