A new algorithm for image edge detection based on phase stretch transform

He Dandan; Rajamohan Parthasarathy

doi:10.1117/12.3006180

10 October 2023 A new algorithm for image edge detection based on phase stretch transform

He Dandan, Rajamohan Parthasarathy

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279914 (2023) https://doi.org/10.1117/12.3006180
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Edge is the important feature in images, which has important applications in image processing, image analysis and image understanding. Accordingly, Edge detection is the basic problem in image processing and computer vision, and is one of the important research content in image processing. In this paper, the edge detection principle of phase stretch transform is analyzed, and the mathematical expression of s-type phase filter with linear or sublinear group delay is derived. Three new phase filters are designed and good edge detection results are obtained. The phase stretch transform based image edge detection is extended to the fractional-order Fourier transform domain, and the simulation results show that the phase stretch transform in the fractional-order Fourier transform domain can also be used for image edge detection and feature description.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

He Dandan and Rajamohan Parthasarathy "A new algorithm for image edge detection based on phase stretch transform", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279914 (10 October 2023); https://doi.org/10.1117/12.3006180

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