In this paper we investigate the use of the Poisson model in the creation and the description of binary textures, in conjunction with two forms of image scanning, namely raster and Hilbert scan. We apply our model to some binary random textures for which we estimate the Poisson parameters using Maximum Likelihood Estimation and nd that the values we obtain are suuciently distinct and suuciently...

Dynamic Texture Stimulation Model: Motion Clouds We first provide an axiomatic derivation of the Motion Clouds model introduced in [1]. In particular, we show that the original definition as a spatiotemporal stationary Gaussian field could be approximated by the random aggregation of warped patterns providing a generative model. We define a dynamic texture as 1 I (x, t) = p X p✓p (x Xp Vpt)) (1...

Methods: This study investigates multiscale texture features extracted from CRC pathology sections using 3D wavelet transform (3D-WT) filter. Multiscale features were extracted from digital whole slide images of 39 patients that were segmented in a pre-processing step using an active contour model. The capacity for multiscale texture to compare and classify between PTs was investigated using AN...

The paper proposes a method for constructing an informative neighborhood for modeling texture images. To describe the characteristic features of textures used assumptions underlying model representation texture images described by using a Markov random field. The results of the conducted experimental researches confirm that application of the developed approach allows to reduce the dimensionali...

The ability to automatically identify areas of homogeneous texture present within a greyscale image is an important feature of image processing algorithms. This article describes the R package LS2Wstat which employs a recent wavelet-based test of stationarity for locally stationary random fields to assess such spatial homogeneity. By embedding this test within a quadtree image segmentation proc...

Electrical steels are important alloys widely used in electrical instruments. The magnetic properties and low core loss of grain oriented silicon steels are closely related to the sharpness of Goss texture ({110} ).The direction of is the softest direction for magnetism.  In this work, the microstructure and dependence of orientation density along the major texture fibers on the applied cold ro...

We consider texture modeling techniques which are exemplar-based, i.e. techniques which use several example texture images to learn pixel arrangements. The motivation for these techniques is that the structure of a texture can be characterized by the spatial distribution of pixels in a neighborhood of the image or the multiresolution pyramid. To get another instance of the same type of texture,...

Two experiments were conducted to explore Gillam and Borsting's (1988, Perception 17 603-608) report that uncorrelated monocular texture facilitates stereopsis by shortening the latency to see depth in random-dot stereograms. Experiment 1 used stereograms similar, in pattern but not disparity, to Gillam and Borsting's with monocular texture present or absent. A third condition, where monocular ...

Seamless texture mapping is one of the key technologies for photorealistic 3D texture reconstruction. In this paper, a method of rapid texture optimization of 3D urban reconstruction based on oblique images is proposed aiming at the existence of texture fragments, seams, and inconsistency of color in urban 3D texture mapping based on low-altitude oblique images. First, we explore implementing r...

Morphological granulometries are frequently used as descriptors of granularity, or texture, within a binary image. In this paper, we study the problem of estimating the (discrete) size distribution and size density of a random binary image by means of empirical, as well as, Monte Carlo estimators. Theoretical and experimental results demonstrate superiority of the Monte Carlo estimation approac...