Journal ArticleDOI
Texture analysis — a survey
TLDR
This survey presents the state-of-the-art in the texture analysis field and its relation to scientific fields like artificial intelligence and visual perception and it presents most of the relevant methods used today in texture analysis.About:
This article is published in Signal Processing.The article was published on 1980-07-01. It has received 134 citations till now. The article focuses on the topics: Image texture & Image processing.read more
Citations
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Journal ArticleDOI
High confidence visual recognition of persons by a test of statistical independence
TL;DR: A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence, which implies a theoretical "cross-over" error rate of one in 131000 when a decision criterion is adopted that would equalize the false accept and false reject error rates.
Journal ArticleDOI
Multichannel texture analysis using localized spatial filters
TL;DR: An interpretation of image texture as a region code, or carrier of region information, is emphasized and examples are given of both types of texture processing using a variety of real and synthetic textures.
Book
Feature Extraction and Image Processing
Mark S. Nixon,Alberto S. Aguado +1 more
TL;DR: The new edition of Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner, and features a companion website that includes worksheets, links to free software, Matlab files, solutions and new demonstrations.
Journal ArticleDOI
Texture classification and segmentation using multiresolution simultaneous autoregressive models
Jianchang Mao,Anil K. Jain +1 more
TL;DR: It is demonstrated that integrating the information extracted from multiresolution SAR models gives much better performance than single resolution methods in both texture classification and texture segmentation.
Journal ArticleDOI
Second-generation image-coding techniques
TL;DR: A new class of coding methods capable of achieving compression ratios as high as 70:1 is called second generation, which can be formed in this class: methods using local operators and combining their output in a suitable way and methods using contour-texture descriptions.
References
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Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Journal ArticleDOI
Pattern Classification and Scene Analysis.
Book
Pattern classification and scene analysis
Richard O. Duda,Peter E. Hart +1 more
TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Journal ArticleDOI
An Introduction to Probability Theory and Its Applications.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.