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.