Medical Image Edge Detection Using MATLAB with Data Export Capability

This is my course project that utilizes MATLAB for medical image edge detection and saves the extracted edge data into text files. During the edge detection process, the implementation begins with preprocessing medical images using MATLAB's Image Processing Toolbox, which includes operations like noise reduction and contrast enhancement through functions such as imfilter() and histeq(). Subsequently, edge detection algorithms like the Sobel operator (using edge() function with 'sobel' parameter) or Canny operator (edge() function with 'canny' parameter) are applied to detect image boundaries, enabling detailed analysis of edge information within medical images. The project then extracts edge coordinate data using regionprops() or bwboundaries() functions and saves this information into text files via fprintf() or writematrix() functions, facilitating convenient subsequent data analysis and processing. Through this project, I aim to deepen my understanding of MATLAB image processing and edge detection techniques while applying these methods to practical medical image analysis scenarios.