Fourier Descriptors Based on Chain Code Extraction
Implementation of Fourier descriptors derived from chain code extraction, with image boundary reconstruction using inverse Fourier transform
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Implementation of Fourier descriptors derived from chain code extraction, with image boundary reconstruction using inverse Fourier transform
Fourier Descriptors applied to binary image recognition, extensively validated method with robust code implementation potential
Shape features containing high-level semantic information hold significant application value in content-based image retrieval and image recognition. Various descriptors can characterize shape features, with Fourier descriptors being widely applied as they simplify 2D contour information into 1D problems. However, natural image shapes are typically noisy and irregular. This study proposes an image preprocessing method to obtain purified shape images and experimentally evaluates Fourier descriptor algorithms for shape feature extraction.
MATLAB implementation using Fourier descriptors for image shape characterization, featuring contour processing and frequency domain analysis