A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning About Edges in Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Determination of Filter Scales for Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo vision for planetary rovers: stochastic modeling to near real-time implementation
International Journal of Computer Vision
International Journal of Computer Vision
An adaptive approach to scale selection for line and edge detection
Pattern Recognition Letters
Edges: saliency measures and automatic thresholding
Machine Vision and Applications
Local Scale Control for Edge Detection and Blur Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Kernels for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Ridge Detection with Automatic Scale Selection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Variable-Scale Smoothing and Edge Detection Guided by Stereoscopy
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Probabilistic Framework for Edge Detection and Scale Selection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Generalized scale: theory, algorithms, and application to image inhomogeneity correction
Computer Vision and Image Understanding
A biologically motivated multiresolution approach to contour detection
EURASIP Journal on Applied Signal Processing
Application of Kohonen network for automatic point correspondence in 2D medical images
Computers in Biology and Medicine
Generalized scale: Theory, algorithms, and application to image inhomogeneity correction
Computer Vision and Image Understanding
Content-adaptive feature extraction using image variance
Pattern Recognition
Multimodal genetic algorithms-based algorithm for automatic point correspondence
Pattern Recognition
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
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In edge and corner detection applications, it is typical to examine a single scale without knowing which scale is appropriate for each location in the image. However, many images contain a wide variation in the distance to the scene pixels and, thus, features of the same size can appear at greatly differing scales in the image. We present a method where the scale of the filtering and feature detection is varied locally according to the distance to the scene pixel, which we estimate through stereoscopy. The features that are detected are, thus, at the same scale in the world, rather than at the same scale in the image. This method has been implemented efficiently by filtering the image at a discrete set of scales and performing interpolation to estimate the response at the correct scale for each pixel. The application of this technique to an ordnance recognition problem has resulted in a considerable improvement in performance.