A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Why progress in machine vision is so slow
Pattern Recognition Letters
Geometric invariance in computer vision
Geometric invariance in computer vision
Performance characterization in computer vision
CVGIP: Image Understanding
Comparison of edge detectors: a methodology and initial study
Computer Vision and Image Understanding
Edge Detection with Embedded Confidence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance characterisation in computer vision: statistics in testing and design
Imaging and vision systems
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The system PICASSO 2 has been designed for a comparative evaluation of image processing algorithms. In this paper, the system is used to study the stability of edge detection under affine transformations (shifts, rotations and scalings) of the objects being tested. Six edge detectors (by Canny, Rothwell, Heitger, Black, Smith and Iverson) have been applied to the images from PICASSO 2 data set and the outputs were compared using several performance metrics. In particular, our results show the unstable behavior of all six methods on the edges of varying contrast.