A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
International Journal of Computer Vision
Local Image Operators and Iconic Structure
AFPAC '97 Proceedings of the International Workshop on Algebraic Frames for the Perception-Action Cycle
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Hypotheses for Image Features, Icons and Textons
International Journal of Computer Vision
The Second Order Local-Image-Structure Solid
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image features and the 1-D, 2nd
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Image and Vision Computing
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We investigate the maximum likelihood metameres of local pure 2nd order structure in natural images. Using the shape index, we re-parameterise the 2nd order structure and gain a one-parameter index which offers a qualitative description of local pure 2nd order image structure. Inspired by Koenderink and previous work within Geometric Texton Theory the maximum likelihood metameres are calculated for a quantised version of the shape index. Results are presented and discussed for natural images, Gaussian noise images, and Brownian or pink noise images. Furthermore, we present statistics for the shape index, principal direction, and curvedness of natural images. Finally, the results are discussed in the terms of their applicability to Geometric Texton Theory.