Advanced Image Processing techniques based model for Brain Tumour detection
| Autor: | Sai Karthik Muppa, S Mohan Sai, K Mona Teja, P Natrajan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021110 strategic
defence & security studies medicine.diagnostic_test Computer science business.industry Quantitative Biology::Tissues and Organs Physics::Medical Physics 05 social sciences Wiener filter 0211 other engineering and technologies 0507 social and economic geography Shot noise Magnetic resonance imaging Salt-and-pepper noise Image processing 02 engineering and technology 050701 cultural studies Noise symbols.namesake Gaussian noise medicine symbols Median filter Computer vision Artificial intelligence business |
| Zdroj: | 2018 4th International Conference on Computing Communication and Automation (ICCCA). |
| DOI: | 10.1109/ccaa.2018.8777696 |
| Popis: | Magnetic Resonance Imaging is a method to get a reasonable photo of a group of the cells (tissue) and group of tissue (organ) by utilizing magnetic and radio waves, and which is without x-ray and other destructive radiation, which prompts tumour, and it set a noteworthy part in treating brain, lower leg, foot and the prostate tumour. A Noised picture is considered and it is filtered utilizing Median and Wiener filter. To get precise MRI and CT pictures for advance diagnosis process is considered as troublesome as they have a tendency to experience the ill effects of different noises, like spotted noise, Poisson noise, salt and pepper noise, Gaussian noise. To dodge these noises, many noise removal filters, for example, median filter, KSL filtering, wiener filtering are utilized. Here, by considering few image processing operations, an image can be enhanced in such a way that helps out in the diagnosis procedure. Various types of image enhancement techniques are considered in the procedure so that the final outcome of the phenomenon will be very precise in predicting if the person is having a tumour or not. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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