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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The perfonnance ofthe algorithm was evaluated and the results were compared to the existing methods.
📌 3 Key Takeaways
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Objective & Hypothesis:Öz In tlıis paper, a new algorithm based on two dimensional dıscrete moment transforms is presented for the detection of abrupt changes in images.
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Key Findings & Data:The developed algorithm was tested under disturbances such as noise and illumination variations.
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Conclusion & Impact:The perfonnance ofthe algorithm was evaluated and the results were compared to the existing methods.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler Detection · İmages · dimensional moments
Özet
Öz In tlıis paper, a new algorithm based on two dimensional dıscrete moment transforms is presented for the detection of abrupt changes in images. The developed algorithm was tested under disturbances such as noise and illumination variations. The perfonnance ofthe algorithm was evaluated and the results were compared to the existing methods.
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Cite This Article
ARI, F. (2000). Detection of changes in images with two dimensional moments. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 45 - Sayı:, 11–17. https://ajindex.com/articles/105219