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Title |
A Comparative Analysis of K-means, Thresholding and Region Growing Algorithms for Segmentation of Brain Tumor of MRI Images |
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Author |
Muhammad Sheraz Arshad Malik, Samreen Shabir, Ghulam Asiya, Hurya Zafar |
| Citation |
Vol. 18 No. 9 pp. 148-155 |
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Abstract |
Brain tumor is an irregular development of tissues in human brain. When this tumor turns into cancer, it can be threatened to human life. That’s why the detection of exact location and size of tumor is necessary. Segmentation of MRI plays an important role for locating tumor in magnetic resonance image (MRI). This research surveys on different segmentation techniques which are applied to MR Images for the detection of tumor in human brain. It also includes the comparison of the different image segmentation techniques based on the accuracy of results of the techniques and time consumed by each technique. |
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Keywords |
brain tumor segmentation, image processing, k-Mean segmentation, Thresholding Algorithms, Region growing |
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