A novel method of performing multiscale, hierarchical segmentation of images using texture properties is introduced. The images are first requantized using contiguity-enhanced K-Means clustering. Morphological operations and region growing based on textural properties are used to arrive at the most detailed segmentation. Successively coarser segmentations are achieved by the use of inter-cluste...

A generalization of our Gaussian distribution mixtures based method to Bidirectional Texture Function (BTF) modelling is discussed. We estimate the local statistical properties of the monospectral version of the fixed view target BTF texture in the form of a Gaussian mixture of product components. The synthesized texture is obtained by means of a step-wise prediction of the whole fixed view BTF...

Textural properties provide information on the ingestibility, digestibility and state of ripeness or decay of sources of nutrition. Compared with our understanding of the chemosensory assessment of food, little is known about the mechanisms of texture detection. Here we show that Drosophila melanogaster can discriminate food texture, avoiding substrates that are either too hard or too soft. Man...

Studies have demonstrated a relationship between mammographic texture and breast cancer risk. To date, texture analysis has been limited by tissue superimposition in mammography. Digital Breast Tomosynthesis (DBT) is a novel x-ray imaging modality in which 3D images of the breast are reconstructed from a limited number of source projections. Tomosynthesis alleviates the effect of tissue superim...

In this paper, we develop a new approach for texture classification independent of affine transforms. Based on spectral representation of texture images under affine transform, anisotropic scale invariant signatures of orientation spectrum distribution are extracted. Peaks distribution vector (PDV) obtained on the distribution of these signatures captures texture properties invariant to affine ...

A major challenge of sensory systems neuroscience is to quantify brain activity underlying perceptual experiences and to explain this activity as the outcome of elemental neuronal response properties. Rats make extremely fine discriminations of texture by "whisking" their vibrissae across an object's surface, yet the neuronal coding underlying texture sensations remains unknown. Measuring whisk...

An unsupervised color texture synthesis-by analysis method is described. The texture is reproduced to appear perceptually similar to a given prototype by copying its statistical properties up to the second order. The synthesized texture is obtained at the output of a single-input three-output nonlinear system driven by a realization of a white Gaussian random field. Significant complexity reduc...

Recently, we have developed a nonparametric approach to texture analysis, in which the distributions of simple texture measures based on local binary patterns and signed gray level differences are used to provide complementary information about the strurctural and stochastic properties of image texture. Very good performance has been obtained in various texture classification and segmentation p...

the objective of this study was to assess the relationship betweenvegetation, landform and physicochemical properties of soil. at the first terrainmap unit were provided using the landsat thematic mapper (tm) satellite images,aerial photograph, topographical and geology map. field sampling was done in therepresentative area using plot sampling. 104 plots 100 m2 were sampled in eachplot landform...

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...