- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Using Fuzzy Logic In Image Matching | ||
| Journal of Education and Science | ||
| Article 14, Volume 26, Issue 4, 2013, Pages 126-139 PDF (407.64 K) | ||
| DOI: 10.33899/edusj.2013.89980 | ||
| Author | ||
| Shahla Hazim Ahmad Karruffa* | ||
| Abstract | ||
| Abstract Fuzzy logic is one of the main branches of artificial intelligence as a representative of the theories and techniques used fuzzy groups and groups that are no definite boundaries, and is considered by this logic to describe and represent the human experience as it is through the development of practical solutions to various problems. In this research was to use Fuzzy logic in matching images, as it has been working with images, where the gray level images have been lowered,, and inserting two images in each state, the implementation and then find the proportion of matches and the percentage difference between them, as well as the calculated some statistical variables that helped to find certain characteristics to match the images. Matlab language program (version 6.5) has been made to implement the suggested algorithm, where it considers a high efficiency language. | ||
| Keywords | ||
| Fuzzy logic; Image Matching; human experience | ||
|
Statistics Article View: 544 PDF Download: 452 |
||