¹Department of Computer Science, University of Science and Technology of Oran, Oran, Algeria.
²Department of Computer Science, University of Mostaganem, Mostaganem, Algeria.

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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.