Toward a Symbolic Representation of Intensity Changes in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Multiresolution-information analysis for images
Signal Processing
Adaptive Determination of Filter Scales for Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Scale Control for Edge Detection and Blur Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Feature tracking with automatic selection of spatial scales
Computer Vision and Image Understanding
Saliency, Scale and Image Description
International Journal of Computer Vision
The Structure of Locally Orderless Images
International Journal of Computer Vision
Local Scale Selection for Gaussian Based Description Techniques
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Reflectance and Texture of Real-World Surfaces Authors
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Classification of carbide distributions using scale selection and directional distributions
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
A Probabilistic Framework for Edge Detection and Scale Selection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Information measures in scale-spaces
IEEE Transactions on Information Theory
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection
IEEE Transactions on Image Processing
Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
International Journal of Computer Vision
Real-time scale selection in hybrid multi-scale representations
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Scale selection for compact scale-space representation of vector-valued images
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
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The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of image intensities. Differential measurements, however, are sensitive to noise and are local. They cannot characterize patterns, such as textures, which are defined over extensive image regions. In this work, we present a novel tool for resolution selection that considers sufficiently large image regions and is robust to noise. It is based on the generalized entropies of the histograms of an image at multiple resolutions. We first examine, in general, the variation of histogram entropies with image resolution. Then, we examine the sensitivity of this variation for shapes and textures in an image. Finally, we discuss the significance of resolutions of maximum histogram entropy. It is shown that computing features at these resolutions increases the discriminability between images. It is also shown that maximum histogram entropy values can be used to improve optical flow estimates for block based algorithms in image sequences with a changing zoom factor.