One major problem with frozen fruits is a loss of texture. Therefore this study investigated the effects of the freezing process on the freezing profiles, texture, and drip loss of apple, mango, cantaloupe, and pineapple fruit samples. All frozenthawed fruits varied in these three properties because of diversity in the fresh fruits. Mango had the highest total soluble solids content and the low...

Dynamic textures are image sequences which contain moving scenes such as a flowing river, drifting smoke, waving foliage, etc. Such image sequences have dynamical properties that are related to motion in the physical world. In this paper, we propose a novel analytical tool for analyzing dynamic textures. The key idea is to exploit the properties of the impulse responses of the state variables c...

We deal with a second order image decomposition model to perform denoising and texture extraction that was previously presented. We look for the decomposition of an image as the summation of three different order terms. For highly textured images the model gives a two-scale texture decomposition: the first order term can be viewed as a macro-texture (larger scale) which oscillations are not too...

In this paper, we present a novel method, which uses non-separable wavelet filter banks, to extract the features of texture images for texture image retrieval. Compared to traditional tensor product wavelets (such as db wavelets), our new method can capture more direction and edge information of texture images, which is highly valuable to reflect the essential properties of the texture images. ...

In this paper we present a non-causal non-parametric multiscale Markov random field (MRF) texture model that is capable of synthesising a wide variety of textures. The textures that this model is capable of synthesising vary from the highly structured to the stochastic type and include those found in the Brodatz album of textures. The texture model uses Parzen estimation to estimate the conditi...

In this paper, we present content based image retrieval using two features color and texture. Humans tend to differentiate images based on color, therefore color features are mostly used in CBIR. Color histogram is mostly used to represent color features but it cannot entirely characterize the image. Color Histogram is also rotation invariant about the view axis. Regularity, directionality, smo...

With the dramatic increase of 3D imaging techniques, there is a great demand for new approaches in texture analysis of volumetric data. In this paper, we present a new approach for volumetric texture analysis using a runlength encoding matrix and its texture descriptors. We experiment with our approach on the volumetric data generated from two normal Computed Tomography (CT) studies of the ches...

This article introduces an idea for novel way of mapping textures onto a surface of 3D model. Our technique is based on two interlocking mappings, the first one maps surface vertices onto computed skeleton and the second maps surrounding area of each skeleton segment into a rectangle with dimensions based on surface properties around this segment. Furthermore, these rectangles are packed into a...

The Bidirectional Texture Function (BTF) is the recent most advanced representation of material surface visual properties. BTF specifies the changes of its visual appearance due to varying illumination and viewing angles. Such a function might be represented by thousands of images of given material surface. Original data cannot be used due to its size and some compression is necessary. This pap...