An Efficient Medical Image Segmentation Using Conventional OTSU Method

The main objective of medical image segmentation is to extract and characterize anatomical structures with respect to some input features or expert knowledge. The Otsu method is a popular non-parametric method in medical image segmentation. Traditional Otsu method for medical image segmentation is time–consuming computation and became an obstacle in real time application systems. In the same way TSMO method also compared. This paper describes a way of medical image segmentation using optimized Otsu method based on improved thresholding algorithm. In proposed algorithm, the experimental results show that the new optimized method dramatically reduces the operating time and increases the separability factor in medical image segmentation while ensures the final image segmentation quality. However, the computation time grows exponentially with the number of thresholds when this method extended to multi-level thresholding.