Volume 13 Number 5 (May 2018)
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JCP 2018 Vol.13(5): 580-587 ISSN: 1796-203X
doi: 10.17706/jcp.13.5.580-587

Support Vector Machine Applied to Compress Medical Image

Chahinez Mérièm Bentaouza1,2, Mohamed Benyettou1
1Department of Computer Science, University of Science and Technology of Oran, Oran, Algeria.
2Department of Computer Science, University of Mostaganem, Mostaganem, Algeria.

Abstract—This article presents the constitution of compressed image after learning by support vector machines applied to medical images. Medical images are a valuable means of decision support. However, they provide a large number of images per examination. Compression is used to reduce the size of medical images for storage and transmission. This work uses Support Vector Machines for compression to reduce the pixels of microscopic images. The compression rates are satisfactory. However, we have a loss of visual information because the compressed image has only support vectors especially when using radial function.

Index Terms—Compression, microscopic image, support vector.

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Cite:Chahinez Mérièm Bentaouza, Mohamed Benyettou, "Support Vector Machine Applied to Compress Medical Image," Journal of Computers vol. 13, no. 5, pp. 580-587, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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