Abstract
Images play a major role in every nature of problems today. Especially, Medical and Space Images play vital role in the field of research. Image mining is the leading technology where general collection of images will be processed instead of concentrating on a single image not as in image process concept. In this paper, MRI images have been classified to diagnosis the nature of tumor in the human brain based on the concept of image mining techniques. There are several algorithms for image classifications in the field of image processing concepts. Here, we have designed a hybrid algorithm for classifying MRI images using KNN and SVM concepts to detect the brain tumor.
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© 2011 Springer-Verlag Berlin Heidelberg
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Kannan, A., Mohan, V., Anbazhagan, N. (2011). An Implementation of Hybrid Algorithm for Diagnosing MRI Images Using Image Mining Concepts. In: Abd Manaf, A., Zeki, A., Zamani, M., Chuprat, S., El-Qawasmeh, E. (eds) Informatics Engineering and Information Science. ICIEIS 2011. Communications in Computer and Information Science, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25453-6_13
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DOI: https://doi.org/10.1007/978-3-642-25453-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25452-9
Online ISBN: 978-3-642-25453-6
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