Textons, the elements of texture perception, and their interactions
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Summary
Research with texture pairs having identical second-order statistics has revealed that the pre-attentive texture discrimination system cannot globally process third- and higher- order statistics, and that discrimination is the result of a few local conspicuous features, called textons.
- Type
- article
- Published
- 1981-03-12
- Cited by
- 1,851
- References
- 18
- OpenAlex
- https://openalex.org/W2032533296
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4327694
Keywords
Scrutiny, Perception, Texture (cosmology), Psychology, Artificial intelligence
References
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- Visual Pattern Discrimination
- Discharge patterns and functional organization of mammalian retina.
- Levels of Processing in Human Memory
Cited by
- Time course of perceptual discrimination and single neuron reliability
- Saccadic latency during perceptual processing and sequence learning
- Preattentive texture segmentation: The role of line terminations, size, and filter wavelength
- Learning pop-out detection: specificities to stimulus characteristics.
- Influence of stimulus salience and attentional demands on visual search patterns in hemispatial neglect.
- Attention and visual texture segregation.
- Situating visual search.
- Distributional Learning of Appearance
- Reconsidering Visual Search
- Two Representations of a High-Dimensional Perceptual Space
- Gehirn und Gestalt
- Towards Automatic Identification and Delineation of Tissues and Pathologies in H&E Stained Images
- Segmentation and Estimation of Surface from Statistical Probability of Object Features
- Novel Methods for Multidimensional Image Segmentation
- Image fusion using multi-resolution decomposition and LMMSE filter
- Texture segmentation and visual search for pop-out targets. An ERP study.
- Local control for temporal evolution of textured images
- Ten Experiments on the Modeling of Polyphonic Timbre. (Dix Expériences sur la Modélisation du Timbre Polyphonique)
- Component perimetry: a fast method to detect visual field defects caused by brain lesions.
- Ocular higher-order aberrations and visual performance
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