On the Canny edge detector

A FUZZY DIFFERENCE BASED EDGE DETECTOR

In this paper, a new algorithm for edge detection based on fuzzyconcept is suggested. The proposed approach defines dynamic membershipfunctions for different groups of pixels in a 3 by 3 neighborhood of the centralpixel. Then, fuzzy distance and -cut theory are applied to detect the edgemap by following a simple heuristic thresholding rule to produce a thin edgeimage. A large number of experime...

An Adaptive Canny Edge Detector using Histogram Concavity Analysis

The traditional Canny edge detector has some drawbacks. Gaussian filter can’t remove the impulsive noise. Moreover, it is difficult to automatically select the dual-threshold. Especially when the noise intensity increases, the dual-threshold selection method of traditional Canny detector is invalid. In this paper, we present an adaptive Canny edge detector using histogram concavity analysis. Th...

On the Optimal Edge Detector

Advancing further the theory of the optimal edge detector, as has been developed by Canny and Spacek, we derive the 'definitive' optimal edge operator. We show that the cubic spline approximation is, in practice, as good as the optimal edge detector.

Canny edge detector

Spinal Vertebrae Edge Detection by Anisotropic Filtering and a Local Canny-deriche Edge Detector

This paper describes a robust method for spinal vertebrae edge detection from biplanar X-ray radiographic images (lateral and antero-posterior). It uses anisotropic filtering and a Canny-Deriche edge detector applied locally and in a region of interest. The anatomical structure of interest in this work is the spinal area. Anisotropic filtering is applied so as to preserve edge structures while ...