Image Segmentation for Detection of Benign and Malignant Tumors by Using DCT and DWT Combination
Main Article Content
Abstract
Automated segmentation of image is an important need in autometed diagnosis of an brain tumour images. It is there fore important to have image processing algorithm to detect tumor from an MRI image. We have developed an novel approach using frequency domain image processing that accurately classify brain tumour from MRI image. We have used combination of DCT and DWT along with SVM to classify tumours. We could automatically classify MRI images in benign and malignant type tumors.
Article Details
How to Cite
, S. V. V. B. H. (2018). Image Segmentation for Detection of Benign and Malignant Tumors by Using DCT and DWT Combination. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 195–198. Retrieved from http://ijfrcsce.org/index.php/ijfrcsce/article/view/1496
Section
Articles