Texture classification is an active topic in image processing which plays an important role in
many applications such as image retrieval, inspection systems, face recognition, medical …

Texture Analysis plays an important role in the interpretation, understanding and recognition
of terrain, biomedical or microscopic images. To achieve high accuracy in classification the …

This paper proposes a novel method for texture classification using high-order local pattern
descriptor: Local Derivative Pattern (LDP). LDP is used to encode directional pattern …

Study of patterns on a local neighborhood of a texture plays an important role in the
characterization and classification of the textures. The present paper assumes that texture is …

Medical images have become the recent key investigation tools for medical diagnosis and
treatment planning. Due to the advent of digital imaging the need of data storage and …

The problem of texture classification arises in several disciplines such as remote sensing,
computer vision, and image analysis. The present paper presents a feature extraction …

The present paper proposes a novel method for classification of stone textures based on
number of grain components. A grain component is a primitive unit of morphology. The most …

The present paper estimates the success rates of Original, Haar, Daubechies-6 and Coiflet-6
wavelet transforms based on first order statistics. Statistical approach is one of the best ways …

The present paper proposes a method of texture classification based on long linear patterns
using wavelets. Linear patterns of long size are bright features defined by morphological …

Texture classification is widely used in understanding the visual patterns and has wide
range of applications. The present paper derived a novel approach to classify the stone …