Texture databases - A comprehensive survey

  • Authors:
  • Shahera Hossain;Seiichi Serikawa

  • Affiliations:
  • Department of Electronics & Electrical Engineering, Kyushu Institute of Technology, Kitakyushu, Japan;Department of Electronics & Electrical Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2013

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Abstract

Texture analysis is a very important area in the field of computer vision and related fields. There are a good number of databases developed by different research groups for various texture analysis, in the field of medical analysis, robotics, recognition, analysis, image processing, etc. However, till-to-date, there is no comprehensive works covering the important databases and analyze these in various perspectives. In this paper, we consider this important task so that it becomes helpful for a researcher to choose and evaluate having crucial evaluating aspects in mind. We categorize and critically survey based on many references of the state-of-the-art related to the databases and other texture works. We strongly believe that this elegant survey will be a great contribution for the vision community, especially in the arena of texture analysis.