Segmentation the Tumor from the Brain Depending on the Colour
Keywords:Noise removal, Segmentation algorithm, 2D median algorithm, Tumor.
The objective of this study is to present a method that aids in the diagnosis of abnormality in brain due to tumors from MRI brain image whereby segmenting the brain tumor is done by using a novel algorithm that depends on the colour of the 2D image. Therefore, this work consists of three main stages, the first one is loading image into memory, and then the segmentation algorithm is applied. Finally, in order to obliterate the noise object, the 2D median algorithm is conducted. After applying the method the results which are obtained show better output to determine the tumor, simultaneously the diameter of the tumor can be calculated.
 Ahmed Kharrat et al," Automated Classification of Magnetic Resonance Brain Images Using Wavelet Genetic Algorithm and Support Vector Machine", Proc. 9th IEEE Int. Conf. on Cognitive Informatics (ICCIâ€™10), 2010.
 Bow S. et al, â€œPattern Recognition and Image processing", Marcel Dekker, New York, USA, 2002.
 W.L.NADOS, R. D. KUMAR, "Medical Images Classification by using Artificial Intelligence Techniques, "International Journal of Engineering and Technology, Informatics, Vol.01,No. 01,2015, pp. 22-26.
Noor E. A. ,et al ,"Comparative Study of Adaptive Network-Based Fuzzy Inference System, K-Nearset Neighbors And Fuzzy c-means For Brain Abnormalities Segmentation ",Int. J. of Computers,Issue4,Vol.5, 2011.
 Shafaf I.,et al,"MRI Classification Abnormalities Segmentation Using K-Nearest Neighbors (K-NN)",Int. J. on computer science and engineering ,Vol.3,No.2,2012
 El-Sayed A.EL.etal.m,"A Hybrid Technique For Automatic MRI Brain Images Classification ",Studia UNIV . Babes-Bolyai , Information ,Vol. 5,No.1, 2009.
 A.EL Allaoui .et al,"Evalution Algorithem For Segmentation Of Medical Images By Region Rrowing",13 th Internation Conference Computer Graphics and Visualization,2016.
 Prof. Dinesh D. Patil ,"Medical Image Segmentation", international Journal of Computer science and Mobile Computer,Jan.2013 ,Vol.2,Issue1.
J.Patel ,K.Doshi,"Study Of Segmentation Mothed for Detection of Tumor in brain MRI" ,ISSN2231-1297,2014,Vol.4,PP:279-284.
 Usha Rani .Nelakuditi ,T. Sri Rama Bharadwaja, N. Bhagiradh ,"Novel VLSI Architecture for Real Time Medical Image Segmentation ",IEEE Sponsored 2â€™nd International Conference On Electronics And Communication Systems(ICECS â€˜2015),p.p:1048-1088.
 Houssem-Eddine Gueziri, Michael J. McGuffin, and Catherine Laporte,"Latency Management in Scribble-Based Interactive Segmentation of Medical Images",IEEE Transactions On Biomedical Engineering, VOL. 65, NO. 5, MAY 2018,pp. 1140-1150.
Neha. P. Raut , A.V.Gokhale,â€ FPGA Implementation for Image Processing Algorithms Using Xilinx System Generatorâ€, IOSR Journal of VLSI and Signal Processing( IOSR-JVSP), Vol.2, Issue 4,May-June,2013, PP 26-36.
 P. H. S., S. H. K. B., and M. L. G, â€œMedical image segmentation,â€ International Journal on Computer Science and Engineering, vol. 2, no. 4, pp. 1209â€“1218, 2010.
 N. W. L., K. R. D., N. M. A., and H. A. A, â€œMedical images classification by using artificial intelligence techniques,â€ International journal of scientific engineering and technology research, no. 34, pp. 6812â€“6816, 2014.
 J.Katkar,T.Baraskar,V.R.Mankae"A Novel Approach for Medical Images segmentation using PCA and K-means Clustering", International Conference on Applied and theoretical Computing and Communication Technology(iCATccT) , 2015,pp. 430-435.
Sahoo, Prasanna K., S. A. K. C. Soltani, and Andrew KC Wong. "Asurvey of thresholding techniques." Computer vision, graphics, andimage processing 41.2 (1988): 233-260.
 Wang, Rui, et al. "Threshold segmentation algorithm for automatic extraction of cerebral vessels from brain magnetic resonance angiography images.Journal of neuroscience methods 241 (2015):30-36.
 T. S. Huang and G. J. Yang, â€œA fast two-dimensional median filtering algorithm,â€ IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 27, no. 1, pp. 13â€“18, 1979.
 N. A. Rasheed, W. L. Nados, â€œObject Segmentation from Background of 2D Imageâ€, Journal of University of Babylon, Pure and Applied Sciences ,Vol.(26), No.(5), 2018, pp. 204-215.
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