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Using Canny's criteria to derive a recursively implemented optimal edge detector

Overview of attention for article published in International Journal of Computer Vision, June 1987
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

patent
8 patents

Citations

dimensions_citation
826 Dimensions

Readers on

mendeley
253 Mendeley
citeulike
5 CiteULike
Title
Using Canny's criteria to derive a recursively implemented optimal edge detector
Published in
International Journal of Computer Vision, June 1987
DOI 10.1007/bf00123164
Authors

Rachid Deriche

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 11 4%
United States 8 3%
China 4 2%
Spain 3 1%
Brazil 2 <1%
Germany 2 <1%
Colombia 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
Other 9 4%
Unknown 208 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 28%
Researcher 51 20%
Student > Master 33 13%
Student > Bachelor 20 8%
Other 12 5%
Other 41 16%
Unknown 24 9%
Readers by discipline Count As %
Computer Science 102 40%
Engineering 65 26%
Physics and Astronomy 11 4%
Mathematics 10 4%
Earth and Planetary Sciences 6 2%
Other 26 10%
Unknown 33 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2022.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from International Journal of Computer Vision
#234
of 1,420 outputs
Outputs of similar age
#1,508
of 11,558 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,420 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 11,558 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them