Texture image analysis and texture classification methods - A review

by   Laleh Armi, et al.

Tactile texture refers to the tangible feel of a surface and visual texture refers to see the shape or contents of the image. In the image processing, the texture can be defined as a function of spatial variation of the brightness intensity of the pixels. Texture is the main term used to define objects or concepts of a given image. Texture analysis plays an important role in computer vision cases such as object recognition, surface defect detection, pattern recognition, medical image analysis, etc. Since now many approaches have been proposed to describe texture images accurately. Texture analysis methods usually are classified into four categories: statistical methods, structural, model-based and transform-based methods. This paper discusses the various methods used for texture or analysis in details. New researches shows the power of combinational methods for texture analysis, which can't be in specific category. This paper provides a review on well known combinational methods in a specific section with details. This paper counts advantages and disadvantages of well-known texture image descriptors in the result part. Main focus in all of the survived methods is on discrimination performance, computational complexity and resistance to challenges such as noise, rotation, etc. A brief review is also made on the common classifiers used for texture image classification. Also, a survey on texture image benchmark datasets is included.


page 2

page 6

page 18

page 19

page 20

page 24

page 25

page 29


A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection

Texture analysis plays an important role in many image processing applic...

Texture features in medical image analysis: a survey

The texture is defined as spatial structure of the intensities of the pi...

Shape from Texture using Locally Scaled Point Processes

Shape from texture refers to the extraction of 3D information from 2D im...

Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension

This work presents a novel descriptor for texture images based on fracta...

Analysis of the South Slavic Scripts by Run-Length Features of the Image Texture

The paper proposes an algorithm for the script recognition based on the ...

Pattern recognition using inverse resonance filtration

An approach to textures pattern recognition based on inverse resonance f...

An image processing analysis of skin textures

Colour and coarseness of skin are visually different. When image process...

Please sign up or login with your details

Forgot password? Click here to reset