MATLAB Code Implementation for Image File Text Segmentation

When performing image file segmentation in MATLAB, a block of text within an image can be decomposed into multiple lines to display textual content more clearly. This process involves scanning and analyzing the image pixel by pixel to identify text boundaries and line spacing parameters. The implementation typically utilizes MATLAB's image processing toolbox functions such as imread for image loading, rgb2gray for grayscale conversion, and edge detection algorithms to locate text regions. Through horizontal projection analysis or connected component labeling with bwlabel, the system determines line breaks by identifying valleys in the projection histogram or gaps between text components. The segmentation algorithm then extracts each text line by calculating row-based pixel density thresholds and applying morphological operations for precise separation. This segmentation methodology finds applications in various domains including document processing, optical character recognition (OCR) systems, and automated text extraction workflows.