Methods and Effects of Image Contour Extraction Implementation Using MATLAB

In this article, we present methods and effects of implementing image contour extraction using MATLAB. First, we explain in detail the principles and objectives of image contour extraction, including edge detection algorithms such as Sobel, Prewitt, and Canny operators. Then, we demonstrate step-by-step implementation procedures using MATLAB's Image Processing Toolbox, highlighting key functions like edge() for detecting edges, bwperim() for extracting boundaries, and contour tracing algorithms. We investigate how different parameters and algorithms impact contour extraction results through practical examples and visual illustrations. The implementation typically involves converting images to grayscale, applying noise reduction filters, selecting appropriate threshold values, and employing morphological operations. Finally, we discuss applications in medical imaging, object recognition, and industrial inspection, along with future development potentials to showcase the significance and possibilities of this technique.