USING FUZZY LOGIC TO OBJECT RECOGNITION IN IMAGE

Authors

  • Shahla Hazim Ahmed Kharofa, Ali Tariq Kalil Al-khayyat

Keywords:

Artificial Intelligence, Computer Vision, Object Recognition, Fuzzy Logic, Rules in Fuzzy Logic.

Abstract

At the peak of technological progress, we began to see in our daily lives many applications that depend on artificial intelligence, and in the medical field, artificial intelligence provides support and assistance to doctors and medical workers in making sound decisions that help the doctor and the person concerned in the process of discovering and identifying the disease.

Fuzzy logic is one of the modern techniques used to find a solution to many problems and recognize objects within the image, and in this research, fuzzy logic was used to extract features from the density values within the image, and by using different density values, rules are formed in fuzzy logic.

Four medical images (tumor images) were used and the proposed algorithm was implemented, which leads to clear recognition of the object (tumor) within the image, and using the Image J system, the tumor area was found.

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Published

2025-08-13

How to Cite

Shahla Hazim Ahmed Kharofa, Ali Tariq Kalil Al-khayyat. (2025). USING FUZZY LOGIC TO OBJECT RECOGNITION IN IMAGE. Journal of Computational Analysis and Applications (JoCAAA), 34(8), 41–49. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3452

Issue

Vol. 34 No. 8 (2025): JOCAAA

Section

Articles

License

Creative Commons License

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