Texture classification is an important and challenging problem in many image processing applications. While convolutional neural networks (CNNs) achieved significant successes for image classification, texture classification remains a difficult problem since textures usually do not contain enough information regarding the shape of object. In image processing, texture classification has been tra...

in this study, ultrafiltrated feta cheese was prepared from cow’s milk ultrafiltraton retentate and soymilk blend. rennet and calcium chloride were used simultaneously as coagulant to coagulate cow’s milk proteins and soymilk proteins, respectively. then, the effect of storage period on physical (texture profile analysis test, penetration test), chemical (total solids, protein, fat) and sensory...

Traditionally texture analysis is approached either by statistically evaluating the distribution of the pixels in a local neighbourhood or by filtering the image with a bank of filters that are applied to capture the changes in the spatial/frequency domain. The aim of this paper is to review and provide a detailed performance evaluation of a number of texture descriptors that analyse texture at...

In this work we compare two spatial and two wavelet-domain feature extraction methods that have been proposed in the recent literature for color-texture classification. The corresponding color-texture features, namely the Opponent-Color Local Binary Pattern distributions, the Chromaticity Moments, the Wavelet Correlation Signatures and the Color Wavelet Covariance features, are extracted in RGB...

This article presents a hybrid approach for texture-based image classification using the gray-level co-occurrence matrices (GLCM) and a new Fuzzy Kohonen Clustering Network for Symbolic Interval Data (IFKCN). The GLCM matrices extracted from an image database are processed to create the training data set using IFKCN algorithm. The IFKCN organizes and extracts prototypes from processed GLCM matr...

Classification of image textures is an important task in image processing and pattern recognition. Over the years, extensive researches have been done for the classification of the texture images. The wavelet transform is an important multi-resolution analysis tool has been commonly applied to image analysis and various classification systems. The texture is characterized by a set of channel va...

in modern agriculture, image processing technique is used for mechanization and intelligent machines instead of humans. one of them is identifying varieties of plants and fruits. identifying plant varieties is important in plant eugenic programs. visual examination of plant leaves and fruits are the common processes for this aim. identification and classification of plants using machine vision ...