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Detection of Tumor objects for color based images using K-means

V. Geethanjali*, P.V.N. Reddy**

* PG Student, Department of Electronics & Communication Engineering, Sri Venkateswara Engineering College For Women, Tirupati.

** Professor, Department of Electronics & Communication Engineering, Sri Venkateswara Engineering College For Women, Tirupati.

Periodicity:April - June'2014
DOI : https://doi.org/10.26634/jip.1.2.2825

Abstract

The brain is a highly dedicated organ. It serves as the control center for body functions. Words, events, thoughts, and feelings are centered in the brain. Each part of the brain has a specific, important function, often a great key function, and each part contributes to the healthy functioning of our body. The position of tumors in the brain shows its effect on individual's functioning and the symptoms caused by tumor. A color based segmentation technique that uses the kmeans clustering method is proposed to track the tumor objects in the Magnetic Resonance (MR) brain images. The key perception in color-based segmentation algorithm with K-means is to convert a given gray-level MR image into a color space image. Then the position of tumor objects is separated from other items of an MR image by using K-means clustering and histogram-clustering. In this paper, the K-means clustering algorithm is used for image segmentation and detecting the tumor objects that are found in the MR brain image.

Keywords

Segmentation, Magnetic Resonance (MR), Fuzzy C-Means (FCM), K-means Clustering, Histogram Clustering.

How to Cite this Article?

Geethanjali, V., and Reddy, P.V.N. (2014). Detection of Tumor objects for color based images using K-means. i-manager’s Journal on Image Processing, 1(2), 8-14. https://doi.org/10.26634/jip.1.2.2825

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