An analytical review of texture feature extraction approaches
by Mohammad Reza Keyvanpour; Shokofeh Vahidian; Zahra Mirzakhani
International Journal of Computer Applications in Technology (IJCAT), Vol. 65, No. 2, 2021

Abstract: Image registration has been an essential task in computer vision and image processing. There are many applications of image registration, for instance, in medical systems. Image registration consists of four main steps, including Features Extraction, Feature Matching, Transform Model Estimation, Resampling and Transformation. The Feature Extraction step makes the image registration process more accurate. Despite a large number of survey articles on texture feature extraction approaches, a comprehensive classification of approaches is still required, which also identifies the strengths and weaknesses of each approach. Therefore, the novelty of this paper, our analytical framework includes three major components: a complete classification of texture feature extraction approaches, using crucial evaluation criteria to present an analytical and qualitative comparison between each approach, which simplifies the accurate selection of the proposed approaches for the intended application. Our framework can also lead to the development of texture feature extraction approaches in future research of scientists.

Online publication date: Thu, 13-May-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com