In this paper, research carried out to test the wavelet and co-occurrence matrix based features for rotation invariant texture image retrieval using fuzzy logic classifier. Energy and Standard Deviation features of DWT coefficients up to fifth level of decomposition and eight features are extracted from co-occurrence matrix of whole image and each sub-band of first level DWT decomposition. The ...

An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and then reconstruct each one of these functions separately with structure and texture filling-in algorithms. The first function used in the dec...

We propose to modify a partial differential equation model for image inpainting by introducing an additional term representing texture information into the PDE so that both image structure and texture are propagated into the missing area. The objective is to solve the problem of lacking texture information in most PDE-based methods. The proposed method does not need to decompose the image into ...

Texture image segmentation plays an important role in texture analysis. This paper presents an approach to image segmentation by texture classification based on fractional discrimination functions. The idea behind this method is to enhance the texture edge points b y means of image decomposition and contextual filtering in terms of the proposed fractional function. In addition, such function is...

Image retrieval based on texture features is getting unusual concentration because texture is an important feature of natural images. In this paper, we intend to implement texture features extraction technique for content-based image retrieval using fractional integral masks. We propose one general fractional integral mask on eight directions for texture features extraction. Experiments show th...

A novel texture detecting analysis for medical pathological tissue images was developed by fractal Brown model. According to fractal Brown random field model, a discrete fractal random field for image texture detection on a definite scale could be derived from the Brown model. Using fractal dimensions in partial region of the image and gray difference between adjacent pixels and relevant Hurst ...

In this paper, neural networks are applied on high resolution IKONOS images for road detection. It was tried to optimize neural network's functionality using a variety of texture parameters with different window sizes and gray level numbers. Both the source image and pre-classified image were used for texture parameter extraction. The obtained results were compared in terms of road and backgrou...

Message hiding in texture image synthesis is a novel steganography approach by which we resample a smaller texture image and synthesize a new texture image with a similar local appearance and an arbitrary size. However, the mirror operation over the image boundary is flawed and is easy to attack. We propose an attacking method on this steganography, which can not only detect the stego-images bu...

One of the first methods for analyzing the texture of an image was proposed in 1979 by Haralick, who introduced the co-occurrence matrix for calculating a set of image statistics. In this paper we focus on novel texture descriptors extracted from the co-occurrence matrix. It is well known that scale is important information in texture analysis, since the same texture can be perceived as differe...

Texture is an innate property of all surfaces referring to visual patterns not resulting from the presence of a single color or intensity. Albeit being intuitively obvious, texture lacks a precise definition. Humans often distinguish textures with properties like periodicity, directionality, granularity, and randomness. Because of the importance and usefulness of texture information, various te...