In this paper, a new texture descriptor based on the local neighborhood intensity difference is proposed for content based image retrieval (CBIR). For computation of texture features like Local Binary Pattern (LBP), the center pixel in a 3×3 window of an image is compared with all the remaining neighbors, one pixel at a time to generate a binary bit pattern. It ignores the effect of the adjacen...

ARPA Image Understanding Workshop 1996 As an alternative to texture segmentation for the description of the images, we propose a method for coalescing descriptors of adjacent image patches with similar textural content into tight clusters. We achieve this result by extending the notion of edge-preserving smoothing and anisotropic di usion from gray-level and color images to vector-valued images...

An integrated nomenclature scheme is proposed to capture the inherent heterogeneity of fine-grained sedimentary rocks at the 102 to 1023 mm scale and to assist the evaluation of these rocks as sinks of organic carbon, barriers to fluid flows, and reservoirs of oil and gas. This scheme incorporates previous knowledge and the latest field, petrographic, and laboratory observations. We propose to ...

In recent years, facial expression recognition, as an interesting problem in computer vision has been performed by means of static and dynamic methods. Dynamic information plays an important role in recognizing facial expression in the image sequences. However, using the entire dynamic information in the expression image sequences is of higher computational cost compared to the static methods. ...

We consider texture images as a composition of manifolds in the feature-space. This geometrical interpretation leads to a natural way for texture enhancement. A flow, based on manifold volume minimization, yields a natural enhancement procedure for texture images. The 2D Gabor-Morlet transform is first used to decompose the image into subband images, where each sub-image corresponds to a differ...

Content based image retrieval is the task of searching images from a database, which are visually similar to a given example image. Since there is no general deenition for visual similarity, there are diierent possible ways to query for visual content. In this work we present methods for content based image retrieval based on texture similarity using interest points and Gabor features. Interest...

Exemplar-based texture synthesis is defined as the process of generating, from an input texture sample, new texture images that are perceptually equivalent to the input. Efros and Freeman’s method is a non-parametric patch-based method which computes an output texture image by quilting together patches taken from the input sample. The main innovation of their work relies in the stitching techni...

One of the serious issues in communication between people is hiding information from others, and the best way for this is deceiving them. Since nowadays face images are mostly used in a three-dimensional format, in this paper we are going to steganography 3-D face images, detecting which by curious people will be impossible. As in detecting the face, only its texture is important, we separate t...

Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognition which has attracted extensive research attention. Since 2000, texture representations based on Bag of Words (BoW) and on Convolutional Neural Networks (CNNs) have been extensively studied with impressive performan...