Publication Type : Conference Paper
Publisher : Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018
Source : Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018, Institute of Electrical and Electronics Engineers Inc., p.372-377 (2018)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057758835&doi=10.1109%2fICCSP.2018.8524154&partnerID=40&md5=f7dc8d1b74c202c9237b33b7b58acba9
ISBN : 9781538635216
Keywords : Anisotropic filters, Anisotropy, Astrophysics, Brain tumor detections, Image segmentation, Magnetic Resonance Imaging, Medical imaging, MRI Image, Performance matrices, Threshold segmentation, Tumors, Watershed segmentation, Watershed segmentation algorithm, Watershed segmentation technique
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2018
Image processing is becoming a challenging field in various aspects like astrophysics, medical images, etc. Processing and extracting results from an MRI image is considered as challenging task in this field. This paper presents clear view of detecting the tumor in the brain using thresholding and watershed segmentation algorithms which include Gaussian filter and anisotropic filter and the affected part of the brain is labelled and the corresponding performance matrix is recorded and analysed with respect to PSNR, SNR, MSE, SSIM values. © 2018 IEEE.
Cite this Research Publication : J. N. Chandra, Bhavana V., and Krishnappa, H. K., “Brain Tumor Detection Using Threshold and Watershed Segmentation Techniques with Isotropic and Anisotropic Filters”, in Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018, 2018, pp. 372-377.