Title :
Detection of suspicious region in medical images by Genetic Algorithm
Author :
Janardhana, S. ; Jaya, J. ; Sabareesaan, K.J. ; George, Jinto ; Yokeshwaran, D.
Author_Institution :
Indian Products Ltd., Coimbatore, India
Abstract :
Medical image analysis and processing has great significance in the field of medicine, especially in non-invasive treatment and clinical study. It helps the doctors to visualize and analyze the image for understand abnormalities in internal structures. This proposed technique consists of four stages. In first stage MRI image is acquired by using MATLAB. In the second stage preprocessing has been done. This pre-processed MRI brain image is normalized and enhanced to achieve computational consistency. In the third stage high frequency noise components are removed by suitable filters. In fourth stage the tumor part has been segmented using effective Genetic Algorithm and the performance analysis has been made.
Keywords :
biomedical MRI; brain; genetic algorithms; image denoising; image enhancement; image segmentation; medical image processing; object detection; tumours; MATLAB; MRI brain image normalization; MRI image; clinical study; doctors; filters; genetic algorithm; high frequency noise component removal; image enhancement; image visualization; internal structure abnormalities; medical image analysis; medical image processing; medicine; noninvasive treatment; suspicious region detection; tumor part segmentation; Genetic Algorithm; MRI; Segmentation;
Conference_Titel :
Current Trends in Engineering and Technology (ICCTET), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2583-4
DOI :
10.1109/ICCTET.2013.6675905