Calculating the Area of a Binary Image Using MATLAB

This document presents a MATLAB program designed to calculate the area of a binary image. The program has been thoroughly tested and runs successfully, making it suitable for various applications including computer vision, image processing, and data analysis. The implementation utilizes key image processing techniques such as edge detection for boundary identification, binarization for converting grayscale images to binary format, and morphological operations like erosion and dilation to refine the image structure. The core algorithm works by counting the number of white pixels (value 1) in the binary image, where each pixel represents a unit area. Key functions employed include bwconncomp for connected component analysis and regionprops for measuring geometric properties. Parameters such as threshold values for binarization and structural element size for morphological operations can be adjusted to accommodate different scenarios and requirements. This MATLAB program serves as a practical tool that enhances efficiency in both professional work and research projects.