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20132025
most citedTexture image analysis and texture classification methods - A review

199 citations

Showing cs.CVShow all

6 papers · 1 filter

cs.CV2020★ 8 cited

Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm

Shervan Fekri-Ershad

Human identification is a much attention problem in computer vision. Gender classification plays an important role in human identification as preprocess step. So far, various metho…

cs.CV2019★ 21 cited

Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information

Nazgol Hor, Shervan Fekri-Ershad

With the development of Information technology and communication, a large part of the databases is dedicated to images and videos. Thus retrieving images related to a query image f…

cs.CV2019

Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm

Shervan Fekri-Ershad, Farshad Tajeripour

The main aim of this paper is to propose a color texture classification approach which uses color sensor information and texture features jointly. High accuracy, low noise sensitiv…

cs.CV2019★ 199 cited

Texture image analysis and texture classification methods - A review

Laleh Armi, Shervan Fekri-Ershad

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…

cs.CV2018★ 6 cited

A Review on Image Texture Analysis Methods

Shervan Fekri-Ershad

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, medi…

cs.CV2015★ 11 cited

MRF-Based Multispectral Image Fusion Using an Adaptive Approach Based on Edge-Guided Interpolation

Mohammad Reza Khosravi, Mohammad Sharif-Yazd, Mohammad Kazem Moghimi +3

In interpretation of remote sensing images, it is possible that some images which are supplied by different sensors become incomprehensible. For better visual perception of these i…