
	Pakistan Journal of Biological Sciences
	Year: 2014 \| Volume: 17 \| Issue: 3 \| Page No.: 335-345 DOI: 10.3923/pjbs.2014.335.345

Support Vector Machines for Microscopic Medical Images Compression

Chahinez Meriem Bentaouza and Mohamed Benyettou

Abstract: This study presents the compression of microscopic medical images by Support Vector Machines using machine learning. The visual cortex is the largest system in the human brain and is responsible for image processing such as compression, because the eye does not necessarily perceive all the details of an image. Medical images are a valuable means of decision support. However, they provide a large number of images per examination that can be transmitted over a network or stored for several years under the law imposed by the country. To apply the reasoning of biological intelligence, this study uses Support Vector Machines for compression to reduce the pixels of medical images in order to transmit data in less time and store information in less space. The results found by using this method are satisfactory for compression though the time must be improved.

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How to cite this article:

Chahinez Meriem Bentaouza and Mohamed Benyettou, 2014. Support Vector Machines for Microscopic Medical Images Compression. Pakistan Journal of Biological Sciences, 17: 335-345.

DOI: 10.3923/pjbs.2014.335.345

URL: https://scialert.net/abstract/?doi=pjbs.2014.335.345

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