Directional structure detection using steerable pyramid

Florence Denis; Atilla M. Baskurt

doi:10.1117/12.515161

1 May 2003 Directional structures detection using steerable pyramid

Florence Denis, Atilla M. Baskurt

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.515161
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

Abstract

The object of the work described in this paper concerns directional structures detection for particular aspects of inspection, such as scratches and marbling defect detection in leather images. Because of the very specific geometry of these structures, we intend to apply a multiscale and orientation-shiftable method. Scratches and marbling have various shapes and sizes. Multiscale approaches using oriented filters have proved to be efficient to detect such curvilinear patterns. We first use the information given by the increase of gray levels in the image to locate suspicious regions. The detection is then based on steerable filters, which can be steered to any orientation fixed by the user, and are synthesized using a limited number of basic filters. These filters are used in a recursive multi-scale transform: the steerable pyramid. Then, the curvilinear structures are extracted from the directional images at different scales.

Citation Download Citation

Florence Denis and Atilla M. Baskurt "Directional structures detection using steerable pyramid", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.515161

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