Extracting Image Features Using Hu's Seven Invariant Moments
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Resource Overview
Implementation of image feature extraction based on Hu's seven invariant moments, developed using MATLAB. This solution can be applied for robust image processing and pattern recognition tasks involving scale, rotation, and translation-invariant characteristic analysis.
Detailed Documentation
This MATLAB-implemented code performs image feature extraction utilizing Hu's seven invariant moments. The implementation calculates moment-based descriptors that remain invariant under image scaling, rotation, and translation transformations. Key functions include image preprocessing, moment computation up to the third order, and normalization to derive the seven Hu invariants. The code serves as a fundamental tool for image processing and analysis applications, particularly useful in object recognition and pattern classification systems where transformation-invariant features are critical.
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