Improved Brain Tumor Detection through Anisotropic Smoothing and Morphological Enhancement
DOI:
https://doi.org/10.15680/IJCTECE.2025.0801006Keywords:
Tumor Localization, Morphological Enhancement, Anisotropic SmoothingAbstract
Effective diagnosis and treatment planning depend on the precise identification of brain tumours in medical imaging. In order to increase image quality and highlight tumor locations, this research suggests an enhanced method for detecting brain tumors that combines morphological enhancement with anisotropic smoothing. By successfully reducing noise while maintaining important edge details, anisotropic smoothing makes it possible to distinguish anatomical structures in MRI scans more clearly. Morphological operations then improve segmentation accuracy by enhancing Tumor boundaries and suppressing unnecessary artifacts. When compared to conventional filtering and segmentation techniques, the suggested method performs better in improving visual quality and raising the accuracy of tumor localization. The method's efficacy in enhancing sensitivity, specificity, and overall detection accuracy is confirmed by experimental results on benchmark datasets, making it a useful tool for computer-aided brain tumor diagnosis.
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