IEEE Transactions on Pattern Analysis and Machine Intelligence
Principles of (low-level) computer vision
Fundamentals in computer understanding: speech and vision
Computer Vision
Ill-Posed Problems and Regularization Analysis in Early Vision
Ill-Posed Problems and Regularization Analysis in Early Vision
Finding Edges and Lines in Images
Finding Edges and Lines in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Widths Yield Reliable Finite Differences (Computer Vision)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some Defects in Finite-Difference Edge Finders
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Scale Blur Estimation and Edge Type Classification for Scene Analysis
International Journal of Computer Vision
Local Scale Control for Edge Detection and Blur Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards Active Machine-Vision-Based Driver Assistance for Urban Areas
International Journal of Computer Vision
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
The Influence of the gamma-Parameter on Feature Detection with Automatic Scale Selection
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
CASCON '95 Proceedings of the 1995 conference of the Centre for Advanced Studies on Collaborative research
Estimating adaptive kernels from local image grey value changes
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
On the Influence of Scale Selection on Feature Detection for the Case of Linelike Structures
International Journal of Computer Vision
Extracting image orientation feature by using integration operator
Pattern Recognition
Robust image registration for fusion
Information Fusion
Modeling structured environments by a single moving camera
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
FhG-Co-driver: From map-guided automatic driving by machine vision to a cooperative driver support
Mathematical and Computer Modelling: An International Journal
Noise resistant gradient calculation and edge detection using local binary patterns
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
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The symbolic representation of gray-value variations is studied, with emphasis on the gradient of the image function. The goal is to relate the results of this analysis to the structure of the picture, which is determined by the physics of the image generation process. Candidates for contour points are the maximal magnitudes of the gray-value gradient for different scales in the direction of the gradient. Based on the output of such a bank of gradient filters, a procedure is proposed to select automatically a suitable scale, and with that, the size of the right convolution kernel. The application of poorly adapted filters, which make the exact localization of gray-value corners or T-, X-, and Y-junctions more difficult, is thus avoided. Possible gaps at such junctions are discussed for images of real scenes, and possibilities for the closure of some of these gaps are demonstrated when the extrema of the magnitudes of the gray-value gradients are used.