A New Method for Texture Fields Synthesis: Some Applications to the Study of Human Vision
IEEE Transactions on Pattern Analysis and Machine IntelligencePublished 1 September 1981
André Gagalowicz
Citations91
SJR quartileQ1
SJR score3.91
SNIP5.99
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TL;DR
A general method to synthesize a stochastic process from its a priori given second-order statistics and some new results, including a new conjecture dealing with visual discrimination of Stochastic texture fields, are given.
Abstract
We present a general method to synthesize a stochastic process from its a priori given second-order statistics. Some new results, including a new conjecture dealing with visual discrimination of stochastic texture fields, are also given.
Keywords
Computer SciencePhysics and Astronomy
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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.
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A new class of two-dimensional random textures with identical third-order statistics that can be effortlessly discriminated is found, and it is commonly assumed that texture granularity is determined by the power spectrum, but this is not the case.
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A method for generating random-dot textures is described that provides statistical control of any n adjacent points (n-grams), while leaving constant the statistics of shorter spans, which allows the experimenter to isolate statistics of n- grams of any span length to determine the nature of their influence on texture discrimination.
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The methodology suggested in the paper provides a structural pattern recognition generalization to phrase-structured syntactic pattern recognition.
