Automated Extraction of Grid Image Intersection Points

This MATLAB program is designed to automatically extract intersection points from grid images. The implementation employs sophisticated image processing algorithms to accurately detect and extract grid intersections, providing a foundation for further analysis and processing. Key features include edge detection using Canny or Sobel operators, Hough transform for line detection, and computational geometry methods for precise intersection point calculation. Through this program, users can efficiently obtain structural information from grid images, enabling subsequent calculations and operations. The design focuses on streamlining the intersection extraction process while maintaining accuracy and stability. The algorithm handles various grid types by incorporating adaptive thresholding and morphological operations to account for different image qualities and grid patterns. This solution offers convenient and reliable processing capabilities for both scientific research and engineering applications. The program includes functions for coordinate normalization and export options for integration with other analytical tools. Implementation considerations include handling uneven lighting conditions, partial occlusions, and perspective distortions through robust image preprocessing techniques.