Content Based Medical Image Retrieval System using Fourier Descriptors Feature for Nose Images
|International Journal of Electronics and Communication Engineering|
|© 2016 by SSRG - IJECE Journal|
|Volume 3 Issue 12|
|Year of Publication : 2016|
|Authors : Manoj Kumar and Kh.Manglem Singh|
How to Cite?
Manoj Kumar and Kh.Manglem Singh, "Content Based Medical Image Retrieval System using Fourier Descriptors Feature for Nose Images," SSRG International Journal of Electronics and Communication Engineering, vol. 3, no. 12, pp. 1-4, 2016. Crossref, https://doi.org/10.14445/23488549/IJECE-V3I12P101
This paper aims to concentrate on a specific medical domain. In this work, retrieval of nose diseases images has been done by using Fourier descriptors feature. Fourier descriptors feature is a shape -based feature. Shape features are extracted from the given input images. Then these extracted features are stored in the database. Features which are stored in the database are compared with query feature. For similarity measurement, Euclidean distance method is used. Similar images are retrieved from the database. This system helps doctors in clinical care and research.
CBMIR, Fourier descriptor, Euclidean Method, Precision, Recall.
 G.Srilakshmi, Dr.K.Rama Linga Reddy,” Performance Enhancement of Content Based Medical Image Retrieval for MRI Brain Images Based on Hybrid Approach” INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET),Vol.2,Issue.3,june 2015.
 B. Ramamurthy, K.R. Chandran, V.R. Meenakshi, and V. Shilpa,” Content Based Medical Image Retrieval System Using Texture and Intensity for Dental Images”, © Springer- Verlag Berlin Heidelberg 2012, ICECCS 2012, CCIS 305, pp. 125–134, 2012.
 Manoj Kumar,Manglem Singh,” Content Based Medical Image Retrieval System Using Texture and Intensity for Eye Images”, International Journal of Scientific & Engineering Research, Volume 7,Issue9, September-2016.
 Mrs. P. Nalini, Dr. B. L. Malleswari,” Review on Content Based Image Retrieval: From Its Origin to the New Age”, International Journal of Research Studies in Science, Engineering and Technology Volume 3, Issue 2, February 2016, PP 18-41.
 Dy, J.G., Brodley, C.E., Kak, A., Broderic, L.S., Aisen, A.M.: Unsupervised feature selection applied to context based retrieval of lung images. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(3) (March 2003).
 Youssif, A.A.A., Darwish, A.A., Mohamed, R.A.: Content based medical image retrieval based on pyramid structure wavelet. IJCSNS International Journal of Computer Science and Network Security 10(3) (March 2010).
 Kavitha, C., Prabhakara Rao, B., Govardhan, A.: Image Retrieval based on Color and Texture feature of the image sub block. International Journal of Computer Applications (0975– 8887) 15(7) (February 2011).
 Ashish Oberoi, Manpreet Singh,” Content Based Image Retrieval System for Medical Databases (CBIR-MD) - Lucratively tested on Endoscopy, Dental and Skull Images”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 1, May 2012.
 Quing chen, Emil Petriu, and Xiaoli Yang,” A comparative Study of Fourier Descriptors and Hu’s Seven Moment Invariants for Image Recognition”Procedings of international conference CCECE,2004,pp.103-106.
 Veni, S., Narayanankutty, K.A.: Image Enhancement of Medical Images using Gabor Filter Bank on Hexagonal Sampled Grids. World Academy of Science, Engineering and Technology 65 (2010).