Journal ArticleDOI
Mosaic models for images—II. Geometric properties of components in coverage mosaics
Narendra Ahuja,Narendra Ahuja +1 more
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TLDR
Digital patterns generated by a class of random geometric processes proposed as models for images are dealt with and expressions for the expected area and width of a connected component, the expected number of components, and the expected total perimeter are derived.About:
This article is published in Information Sciences.The article was published on 1981-01-01. It has received 6 citations till now. The article focuses on the topics: Connected component.read more
Citations
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Journal ArticleDOI
Mosaic Models for Textures
Narendra Ahuja,Azriel Rosenfeld +1 more
TL;DR: Theoretical and empirical results on properties of patterns generated using image models based on random geometric processes are summarized and can be used as aids in fitting the models to images.
Journal ArticleDOI
Image Models
Narendra Ahuja,Bruce Schachter +1 more
TL;DR: Models of spatial variation used m the computer processing of pictorial information are surveyed and several high-level models making use of semantic reformation are also described.
Journal ArticleDOI
Mosaic models for images—III. Spatial correlation in mosaics
Narendra Ahuja,Narendra Ahuja +1 more
TL;DR: The joint gray-level probability density for pairs of points at given separations is used to derive various second-order image statistics, including the autocorrelation, edge density, and variogram, which can be used for fitting models to a given ensemble of images.
Modeling, Estimation, and Pattern Analysis of Random Texture on 3-D surfaces
Yoonsik Choe,R.L. Kashyap +1 more
TL;DR: In this article, a 3D texture mathematical model is developed by considering the scene image as the superposition of the smooth shaded image and a random texture image to describe the random part, the orthographical projection is adapted to take care of the nonisotropic distribution function of the intensity due to the slant and tilt of a 3-D texture surface.
Journal ArticleDOI
“Qualitative” Bayesian estimation of digital signals and images
TL;DR: The problem of partial or “qualitative” Bayesian description is considered, rather than complete estimation, of the ideal signal, and it is found that the descriptions can be estimated robustly.
References
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Journal ArticleDOI
Statistical and structural approaches to texture
TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.
Book
Digital Picture Processing
Azriel Rosenfeld,Avinash C. Kak +1 more
TL;DR: The rapid rate at which the field of digital picture processing has grown in the past five years had necessitated extensive revisions and the introduction of topics not found in the original edition.
Book
A first course in stochastic processes
Samuel Karlin,Howard M. Taylor +1 more
TL;DR: In this paper, the Basic Limit Theorem of Markov Chains and its applications are discussed and examples of continuous time Markov chains are presented. But they do not cover the application of continuous-time Markov chain in matrix analysis.
Journal ArticleDOI
Mosaic Models for Textures
Narendra Ahuja,Azriel Rosenfeld +1 more
TL;DR: Theoretical and empirical results on properties of patterns generated using image models based on random geometric processes are summarized and can be used as aids in fitting the models to images.
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Lattice estimation from images of patterns that exhibit translational symmetry
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