Edge detection of internal defects based on the hidden singularity of gradient streamlines obtained by continuous wavelet transform

Lv, Congcong; Wang, Kaifu; Gu, Guoqing; Pan, Yun

doi:10.1117/1.oe.58.3.033105

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Edge Detection Technology Based On Wavelet Transform1

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Cited by 4 publications

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“…In the same year, Dwivedi et al [35] used 2D-discrete wavelet transform for detecting lateral edges based on Haar wavelets. In 2019, Lv et al [36] used continuous wavelet transform for detecting streamlines forming edges.…”

Section: Edge Detection Technology Based On Wavelet Transformmentioning

confidence: 99%

A Review of the Edge Detection Technology

Hou¹,

Jia²,

Wang³

et al. 2021

STAIQC

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The edge detection-based has profoundly inspired recent works in image classification, object detection, segmentation, et al. With the growth of computer vision, the performance of edge detection has been notably improved. In this paper, we concentrate on presenting some edge detection technologies and grouping them into two major categories: classical edge detection technology and deep learning-based edge detection technology. For every team in the classification, the fundamental thoughts are first described, and then we probe beneath into the mainly related literature in recent years. Furthermore, the evaluation indicators are entirely elaborated. In addition, this conclusion is given by a comprehensive summary which provides suggestions on future perspectives.

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Section: Edge Detection Technology Based On Wavelet Transformmentioning

confidence: 99%