Hybrid Technique for Area of Interest Detection Form Image

  • Gurbakash Phonsa, Dr. Gurpreet Singh

Abstract

The main cause of the death as per today’s scenario is brain sicknesses that effect the human’s body activities along with brain cells. The detection of brain diseases is still a challenge due to many factors like user friendly diagnoses interfaces, test accuracy, early detection stage and may more. Keeping all this in mind this paper proposes an hybrid approach for detection of brain tumor and eliminating all other replica factors. We use TDE hybridized with bisection mechanism that having history in illnesses detection. In our study this approach shows a betterment in comparison to existing techniques with 8 to 10% margin. It is our understanding the use of objective function at classification and segmentation phase as well as enhancing contrast will shows this improvement. These results are shown through parameters like MSE and PSNR in relationships of precision.

Published
2021-11-03
How to Cite
Gurbakash Phonsa, Dr. Gurpreet Singh. (2021). Hybrid Technique for Area of Interest Detection Form Image. Design Engineering, 9807-9817. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/6032
Section
Articles