Feature Extraction and Statistical Analysis of EP/TiO2 & EP/Al2O3 Nano-Composite Materials in Acidic Solution

Abdul Adheem Zaily  Hameed; Muzhir Shaban Al-Ani; Haval Muhammed Sidqi

doi:10.24996/ijs.2026.67.3.37

Authors

Abdul Adheem Zaily Hameed Computer Science Department, College of Computer Science & Information Technology, University of Anbar, Anbar, Ramadi, Iraq
Muzhir Shaban Al-Ani Department of Information Technology, College of Science and Technology, University of Human Development, Sulaymaniyah, KRG, Iraq
Haval Muhammed Sidqi Department of Database, Institute of Computer, University of Sulaimani Polytechnic, KRG Iraq

DOI:

https://doi.org/10.24996/ijs.2026.67.3.37

Keywords:

Surface Structures, Surface Characteristics, Nano-Al2O3, Nano-TiO2, The chemical solution (HNO3)

Abstract

This paper focuses on the study of extracting features from Nano-composites for Alumina (EP/Al2O3) and Nano-composites for Titanium (EP/TiO2 ) samples before and after immersion in the chemical solution (HNO3) using image processing tools and statistical measures. It is obvious that it is difficult to distinguish the change in the physical properties of the samples before and after immersion in the chemical solution, and it is also difficult even to the naked eyes. Therefore, in this research improvements were made to the image parameters using various techniques to reach the best quality in the image features. Statistical analysis (entropy, standard deviation, mean value, and correlation measures) was applied to obtain the best results in terms of comparing samples before and after immersion in acidic solution. The results obtained indicate that acid immersion affects alumina and titanium samples at different rates, and the effect of acid immersion effect on the case of alumina and the results show that samples of titania nano-composites are more resistant to acid immersion.