Brain Tumor Segmentation by FCM and Enhancement by ANN, using GLCM Based Feature Extraction
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014

Brain Tumor Segmentation by FCM and Enhancement by ANN, using GLCM Based Feature Extraction

Salabha Varghese

Brain Tumor is an uncontrolled growth of tissues in brain. Robust segmentation of brain tissues is very important for the detection and diagnosis of brain tumor. Clustering techniques could be best utilized by combining them with other techniques. In this paper the idea is to combine two metaphors: Neural Network and Fuzzy Logic. The Neuro-Fuzzy system combines the learning power of Artificial Neural Network system and explicit knowledge representation of fuzzy inference system. The proposed system consists of four stages: Pre-processing of various brain images, Feature extraction using Gray Level Co-occurrence Matrix (GLCM) and classification and segmentation of brain images through Hybrid Neuro-Fuzzy System.

Keywords: Clustering, Neural Network, FCM, Neuro-Fuzzy, GLCM

Edition: Volume 3 Issue 11, November 2014

Pages: 252 - 257

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How to Cite this Article?

Salabha Varghese, "Brain Tumor Segmentation by FCM and Enhancement by ANN, using GLCM Based Feature Extraction", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT14834, Volume 3 Issue 11, November 2014, 252 - 257

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