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[Research on clone algorithm applied in edge detection of retinal vessels].
Summary
A new marginal clone algorithm combines edge connectivity and noise removal for improved image edge detection. This method effectively addresses traditional edge discontinuities and noise, enhancing edge recognition performance.
Area of Science:
- Computer Vision
- Image Processing
- Algorithm Development
Context:
- Traditional edge detection methods suffer from discontinuities and noise.
- Image cloning theory and algorithms provide a basis for edge analysis.
Purpose:
- To propose a novel marginal clone algorithm for enhanced edge detection.
- To combine edge connectivity and noise removal techniques.
Summary:
- The proposed algorithm analyzes image edge cloning theory.
- It integrates edge connectivity with a noise removal algorithm.
- Simulation results demonstrate superior performance in edge detection.
Impact:
- The algorithm effectively solves traditional edge discontinuities and noise issues.
- It exhibits improved edge recognition performance compared to existing methods.
- Enhances the accuracy and reliability of edge detection in digital images.
