activity
20112020
most citedTexture image analysis and texture classification methods - A review

199 citations · 290 across the 13 of their papers we have counts for

collaborators

13 papers

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★ 3 cited

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

Shervan Fekri-Ershad

Texture analysis plays an important role in many image processing applications to describe the image content or objects. On the other hand, visual surface defect detection is a hig…

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…

eess.IV2018

Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique

Shervan Fekri-Ershad

Since now, many approaches has been proposed for surface defect detection based on image texture analysis techniques. One of the efficient texture analysis operations is local bina…