The application discloses a
glaze pattern structure
feature extraction method based on polarization difference and waveband fusion, and belongs to the technical field of
image processing. A plurality of images of the same pattern under different polarization angles and different illumination wavebands are collected, and first, the plurality of images are registered; then, polarization parameters are calculated and highlight areas are detected; then, based on a polarization degree
physical model,
specular reflection components are estimated and suppressed to obtain a highlight-removed pattern image; subsequently, the image is subjected to color and scale normalization
processing; finally, a pattern skeleton is segmented and thinned from the normalized image, color, curve, period and texture features are extracted, and structured feature codes are fused and generated. The application can effectively suppress highlight interference, improve the definition and
readability of pattern details, realize the consistency and reproducibility of data under different collection conditions, and output searchable structured features, thereby greatly improving the efficiency of
digital recording, management and research of
glaze patterns.