Classification of motion blurred images by means a discriminative feature selection method based on circular moments

C. Toxqui-Quitl; A. Padilla-Vivanco

doi:10.1364/FIO.2010.JWA23

Frontiers in Optics 2010/Laser Science XXVI
OSA Technical Digest (CD) (Optica Publishing Group, 2010),
paper JWA23
•https://doi.org/10.1364/FIO.2010.JWA23

Classification of motion blurred images by means a discriminative feature selection method based on circular moments

C. Toxqui-Quitl and A. Padilla-Vivanco

Frontiers in Optics 2010

Rochester, New York United States
24–28 October 2010
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Joint FiO/LS Poster Session II (JWA)

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C. Toxqui-Quitl and A. Padilla-Vivanco, "Classification of motion blurred images by means a discriminative feature selection method based on circular moments," in Frontiers in Optics 2010/Laser Science XXVI, OSA Technical Digest (CD) (Optica Publishing Group, 2010), paper JWA23.

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Abstract

Circular moments along with a discriminative feature selection method are considered for the invariant classification of motion blurred images. With a minimum resolution in the image, only one descriptor is available to discriminate between shapes.

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