Comprehensive Graphic and Image Processing Techniques

This document describes a comprehensive MATLAB-based approach for multi-dimensional image processing. Initially, we perform image histogram equalization to enhance contrast and brightness distribution using MATLAB's histeq() function or custom implementation that redistributes pixel intensities across the entire dynamic range.

Subsequently, integral projection analysis is conducted through horizontal and vertical projections. The horizontal projection sums pixel values along each row to identify vertical patterns, while vertical projection accumulates values along columns to detect horizontal features. This is typically implemented using sum(image,1) for vertical projections and sum(image,2) for horizontal projections.

Finally, precise target localization techniques are applied using thresholding, edge detection (edge() function), or regional analysis (regionprops()) to accurately identify and locate target objects within the image. This comprehensive processing pipeline enables thorough image analysis and yields improved image quality with accurate target positioning results.