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Edge Map Response of Dilated and Reconstructed Classical Filters

EasyChair Preprint no. 4151

8 pagesDate: September 7, 2020


Edge detection is a basic and fundamental feature in image processing domain. Dilation of edge filters kernels has proven to bring benefits for the edge detection operation by permitting to filter out noise and to take in consideration a bigger region of the image when processing. Numerous techniques were used in the past for finding edge features, one of the most common used being finding features in lower level scale of the image pyramid. Now, naturally, we want to investigate if our dilating of the filter kernels bring similar benefits as finding edges in a lower scale pyramid level.

Keyphrases: Canny algorithm, Dilated filters, edge detection, Edge detection operator, Pyramid Level feature extraction

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ciprian-Constantin Orhei and Victor Bogdan and Cosmin Bonchis},
  title = {Edge Map Response of Dilated and Reconstructed Classical Filters},
  howpublished = {EasyChair Preprint no. 4151},

  year = {EasyChair, 2020}}
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