Edge Detection with Embedded Confidence

By Peter Meer, Bogdan Georgescu. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001

447 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Generalized Boundaries from Multiple Image Interpretations (2012, methodology): “Our method bridges the gap between model fitting methods such as [2], [28], and recent successful, but computationally demanding learning-based boundary detectors [1], [46], [49].”
OBJ CUT (2005, background): “The edge image of D is found using edge detection with embedded confidence [18].”
What is a good evaluation measure for semantic segmentation? (2013, methodology): “Hence, we combine the probability maps with a low level unsupervised segmentation, and segment images into super pixels using [2, 15], to improve the segmentation boundaries.”
Synergism in low level vision (2002, methodology): “A generalization of the traditional Canny edge detection procedure which also employs the confidence in the presence of an edge [11] is reviewed in Section 3.”
Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures (2006, methodology): “We then augment the matched-filter responses with a new vessel “confidence” measure, analogous to the edge-based measure presented in [50].”