A classified and comparative study of edge detection algorithms
By Mohsen Sharifi, Mahmood Fathy, Maryam Tayefeh Mahmoudi. Proceedings of the International Conference on Information Technology, 2002
377 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/39d682aeb9bbcfda587c70ac3df6ac42b567abb3
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In Computer Vision and Pattern Recognition
Citations in the corpus
- Characterization of Nontoxic Liquid-Metal Alloy Galinstan for Applications in Microdevices (2012, methodology): “7 and information in [23], we conclude that the results from Canny edge detection are more reliable and use them for discussions in the remainder of this report.”
- Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting (2020, background): “Early works use the difference obtained by Gaussian blurring for low-level image processing tasks like edge detection, image quality assessment, and feature extraction [24, 25, 26].”