Dictionary based Approach to Edge Detection

Nitish Chandra; Kedar Khare

doi:10.1364/MATH.2017.MW2C.2

Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP)
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper MW2C.2
•https://doi.org/10.1364/MATH.2017.MW2C.2

Dictionary based Approach to Edge Detection

Nitish Chandra and Kedar Khare

Mathematics in Imaging 2017

San Francisco, California United States
26–29 June 2017
ISBN: 978-1-943580-29-3

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Computational Imaging (2) (MW2C)

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N. Chandra and K. Khare, "Dictionary based Approach to Edge Detection," in Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP), OSA Technical Digest (online) (Optica Publishing Group, 2017), paper MW2C.2.

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Abstract

Developed self-learning technique for edge detection using dictionary comprised of filters constructed using features of the input image, eliminating pre-or post-processing making it more accurate than generic algorithms such as Sobel, Prewitt, and Canny method.

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