Texture Based Content Retrivl for Brain Image Using Filter Technique

Authors

  • Shihab ahmed
  • Eman Abdul Al-Malik Al-Hilo

Abstract

The image can be segmented into homogenous areas by many different ways. In this paper the program was used to divided the image which is Texture based on colorThe images used in this paper were the MRI (Magnetic Resonance Image) of a healthy person and other images of sick person, had the diseas. The colored images MRI were divided into many areas according to the colors by using three filters .i.e. Entropy filter, standard deviation (STD) filter, and Range filter where the colored image was changed into gray one.

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Published

2016-06-10

How to Cite

ahmed, S., & Abdul Al-Malik Al-Hilo, E. (2016). Texture Based Content Retrivl for Brain Image Using Filter Technique. Journal of Kufa-Physics, 8(1). Retrieved from https://journal.uokufa.edu.iq/index.php/jkp/article/view/7479

Issue

Vol. 8 No. 1 (2016): Journal of Kufa Physics

Section

Peer-reviewed Articles

License

Copyright (c) 2016 Shihab ahmed, Eman Abdul Al-Malik Al-Hilo

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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