BEPLS Vol 9 [7] June 2020 70 | P age ©2020 AELS, INDIA Bulletin of Environment, Pharmacology and Life Sciences Bull. Env. Pharmacol. Life Sci., Vol 9[7] June 2020 : 70-73 ©2020 Academy for Environment and Life Sciences, India Online ISSN 2277-1808 Journal’s URL:http://www.bepls.com CODEN: BEPLAD Global Impact Factor 0.876 Universal Impact Factor 0.9804 NAAS Rating 4.95 ORIGINAL ARTICLE OPEN ACCESS An Analysis of Brain Tumor detection with different transforms I.Infant Raj 1 , B.Kiran Bala 2 1,2 –Assistant Professor, Department of Computer Science and Engineering, K.Ramakrishnan College of Engineering, Trichy, Tamil Nadu, India. Email: kiranit2010@gmail.com ABSTRACT Early detection of Brain Tumor which saves so many life and very much helpful to the society in order to give support to the society brain tumor analysis made in this system with analysis of different transform. The MRI brain image taken from open source namely kaggle from that data process the image and input given as image to this system and the system extract the feature and apply the different transforms namely Fourier Transform, Haar Transform and Wavelet Transform to that feature extracted data. Compare with the result and parameter taken for this process Time, Sensitivity, FAR, FRR from that data process the system and conclude the result by justifying from the implementation part. Keywords: Wavelet Transform, Haar Transform, Fourier Transform. Received 22.03.2020 Revised 01.05.2020 Accepted 09.06.2020 INTRODUCTION The early detection of Brain tumor is still a difficult task in medical filed that to early detection is very difficult to give solution to that problem this analysis is very much helpful to that sector there are several open database are available but for this particular work kaggle database is used for the process and for feature extraction several types available but for this work edge and shape taken for the system and to make detection so many transforms are available for this particular work three transforms are taken namely Wavelet Transform, Haar Transform and Fourier Transform [1][2]. Figure 1: Workflow of This System