Image Segmentation Lab Report - Custom Implementation

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Resource Overview

A self-authored experimental report on image segmentation techniques, implementing MATLAB's Image Processing Toolbox to segment the baota.jpg image. The objective focuses on extracting and highlighting primary regions of interest, accompanied by experimental conclusions and practical implementation insights including key algorithms and code approaches.

Detailed Documentation

This is a self-authored experimental report investigating image segmentation methodologies. Following experimental requirements, I implemented image segmentation on baota.jpg using MATLAB's Image Processing Toolbox. The primary objective was to enhance and extract dominant target regions from the image. Key technical implementations included threshold-based segmentation algorithms (using graythresh and imbinarize functions), region-growing techniques for connected component analysis, and edge detection methods (Sobel/Canny operators) for boundary identification. The report includes experimental conclusions and accumulated practical experience regarding parameter optimization, noise handling strategies, and evaluation metrics for segmentation accuracy. Through this documentation, I aim to share research findings and technical comprehension of image segmentation frameworks.

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