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- Vol. 3 Issue 3
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Brain Tumor Segmentation using Berkeley Wavelet Transform
Authors
1Assistant professor, Department of Electronics and communication engineering, Vivekanandha College of Engineering for women, Tiruchengode, Namakkal District, Tamil Nadu,637205,India. 2345Student, Department of Electronics and communication engineering, Vivekanandha College of Engineering for women, Tiruchengode, Namakkal District, Tamil Nadu,637205,India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 3 (2022)
- Published Online
- May-June 2022
- Pages
- 268-273
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: Segmentation of image in MRI is becoming very important in image processing. The division of image into segments is known as image segmentation. It is used in the application of object detection, content based image retrieval, machine vision, and medical imaging including volume rendered images from computed tomography and Magnetic Resonance Imaging, Recognition task and many others. It is mostly used in the application of image compression or object recognition. Image segmentation includes various segmentation technique based on the shape, size and intensity of the image. In this paper we have discussed about the BWT segmentation, feature extraction using GLCM and feature selection using SVM for segmenting the tumor image, the accuracy level is increased up to 90% compared with the existing algorithm.
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