This paper introduces a texture features extraction technique for content-based image retrieval using fractional differential operator mask convolution with Cesáro means. We propose one general fractional differential mask on eight directions for texture features extraction. Image retrieval based on texture features is getting unusual concentration because texture is an important feature of nat...

In this paper, a Fuzzy Dominant Texture Descriptor is proposed for semantically describing an image. This fuzzy descriptor is defined over a set of fuzzy sets modelling the “coarseness” texture property. Concretely, fuzzy partitions on the domain of coarseness measures are proposed, where the number of linguistic labels and the parameters of the membership functions are calculated relating repr...

The essence of image texture is typically understood by two aspects. First, within a texture-pattern there is a significant variation in intensity values between nearby pixels. Second, texture is a homogenous property at some spatial scale larger than the spatial resolution of the image. Motivated by the essential aspects of image texture, this paper proposes a novel methodology that combines t...

Content-Based Image Retrieval (CBIR) system is rising as a crucial analysis space wherever the users will search and retrieve pictures supported by the properties like shape, color and texture from the image information. Typically texture-based image retrieval is taken into account as a clever image of coarseness, dissimilarity and roughness however there's a lot of texture data within the edge...

A gray-level image texture descriptors based on fractal dimension estimation is proposed in this work. The proposed method estimates the fractal dimension using probability (Voss) method. The descriptors are computed applying a multiscale transform to the fractal dimension curves of the texture image. The proposed texture descriptor method is evaluated in a classification task of well known ben...

Continuous tone images must be halftoned to be displayed on binary output devices such as printers. The ordered dither algorithm is a popular approach to halftoning. This algorithm uses a threshold matrix to approximate gray scale values. The arrangement of thresholds in the matrix determines texture artifacts introduced into the halftoned image. Thus, the challenge of research in ordered dithe...

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...

A novel statistical image model is proposed to facilitate the design and analysis of image processing algorithms. A mean-removed image neighborhood is modeled as a scaled segment of a hypothetical texture source, characterized as a 2-D stationary zero-mean unit-variance random field, specified by its autocorrelation function. Assuming that statistically similar image neighborhoods are derived f...

Applying selective emphasis to photographs is a critical aspect of the visual design process. There is evidence from psychophysics that contrast in texture is a key contributor to saliency in an image, yet unlike other low-level perceptual features, texture cannot be directly modified with existing image-processing software. We present a post-processing technique to subtly change the salience o...

Texture analysis holds significant promise for improving the science return of remote planetary exploration. Communications with exploration spacecraft suffer significant latency and bandwidth constraints; onboard image understanding can summarize large datasets and select representative images for transmission. We present image texture descriptors that satisfy the strict computational requirem...