Paper Title : Spatial Domain Segmentation Algorithm for Tumour Detection and Wavelet Based Texture Analysis
ISSN : 2394-2231
Year of Publication : 2021
MLA Style: Shawni Dutta , Prof. Samir Kumar Bandyopadhyay " Spatial Domain Segmentation Algorithm for Tumour Detection and Wavelet Based Texture Analysis " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: Shawni Dutta , Prof. Samir Kumar Bandyopadhyay " Spatial Domain Segmentation Algorithm for Tumour Detection and Wavelet Based Texture Analysis " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
The most challenging and complex area of research in biomedical image processing is segmentation and analysis of brain tumour. It is proved by Statistics that amongst various brain ailments, brain tumour is may be fatal if it will be carcinogenic. The paper proposes a spatial domain segmentation algorithm for detection of brain tumour using multiple images of brain MR and k-means algorithm. Also a Brain Tumour Texture Analysis algorithm is proposed that uses fractal dimension, fractal area, and wavelet to classify type of texture present in brain tumour. The results obtained by those algorithms are found to be highly satisfactory and verified for ground truth by medical practitioners. The proposed algorithms were compared with other stateof-the-art algorithms and found to be better in terms of accuracy, precision and recall.
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—— MRI, Texture Analysis, Brain Tumour, Segmentation and Wavelet Transform