Thresholding and morphological based segmentation techniques for medical images

The main objective of this work is to segment the medical image under various conditions and different backgrounds. Image segmentation is very useful and it improves the results of image analysis. Segmentation done manually is not an easy task also it consume a lots of time. Its accuracy percentage is also very less. So, there is a necessity of developing accurate and efficient algorithms for medical image segmentation. A new algorithm for segmentation of MRI and CT images has been proposed in this work, based on thresholding and morphological techniques. The proposed algorithm has been verified on Brain MRI and CT Angiography. It has been proved that the proposed method is better than the existing techniques. This verification is done on the basis of the performance parameters such as completeness and correctness.