Human Eye Edge Extraction
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Resource Overview
A program developed for project purposes, designed for human eye edge extraction using the Canny algorithm. The implementation requires manual adjustment of the approximate eye position to optimize detection accuracy.
Detailed Documentation
This project involves developing a program for human eye edge extraction utilizing the Canny edge detection algorithm. The implementation requires adjusting the approximate eye position parameters to ensure detection accuracy and precision. Additional image processing techniques are incorporated to enhance image quality and reduce noise interference. The edge extraction process enables better analysis of ocular structures and features, providing valuable data for further research and applications. Key implementation aspects include parameter tuning for optimal threshold values in the Canny algorithm and preprocessing steps like Gaussian filtering to improve edge detection performance.
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