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Canny edge detector

Known as: Canny, Canny operator, Canny edge detection 
The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed… 
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Related topics

Related topics

29 relations
AlgorithmCalculus of variationsChessboard detectionComputer vision

Broader (1)

Feature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
A distributed Canny edge detector and its implementation on FPGA
Edge detection is one of the key stages in image processing and object recognition. The Canny edge detector is one of the most… 
2010
2010
Automotive Image Processing Technique Using Canny’s Edge Detector
- Edge detection from images is one of the most important concerns in digital image and video processing. With development in… 
2010
2010
A distributed psycho-visually motivated Canny edge detector
This paper proposes a distributed Canny edge detection algorithm which can be mapped onto multi-core architectures for high… 
Highly Cited
2010
Highly Cited
2010
Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC
The paper discusses novel image retrieval methods based on shape features extracted using gradient operators and slope magnitude… 
2008
2008
Shot Boundary Detection Based on Mutual Information and Canny Edge Detector
Shot boundary detection servers as the preliminary step to video retrieval. Most of error detections in the present algorithms… 
2007
2007
Performance Analysis of Fuzzy-Based Canny Edge Detector
Edge detection is an important aspect of image processing. There are different methods for improving edge detection. This paper… 
2006
2006
The canny detector with edge region focusing using an anisotropic diffusion process
This paper proposes a methodology for edge detection in digital images using the Canny detector, but associated with a priori… 
2002
2002
Enhanced Canny edge detection using curvature consistency
  • P. L. Worthington
  • Object recognition supported by user interaction…
  • 2002
  • Corpus ID: 8411434
Edges are often considered as primary image artifacts for extraction by low-level processing techniques, and the starting point… 
1999
1999
The Accuracy of Sub-Pixel Localisation in the Canny Edge Detector
We examine the accuracy of the sub-pixel location of edges in the Canny detector using a discrete step edge model and Monte-Carlo… 
1995
1995
Evaluation of edge detectors performances with a discrete expression of Canny's criteria
Three quality criteria have been defined by Canny (1986) to deduce an optimal edge detector in the continuous space domain. In… 
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