Survey of Some Multilevel Thresholding Techniques for Medical Imaging

Segmentation is a method of partitioning an image into useful object, image processing is a method of converting an image into digital form and performing some operations on it so to enhance and extract some useful information from it. It found various applications in the field of engineering, robotics, alsoanalysis and computer vision techniques are increasing in prominence in medical science and in case of kidney stone disease the image segmentation of ultrasound images of stones are found to be effective in medical imaging. By using this technique, it is also possible to extract some features that will be very helpful for the diagnosis of the medical images to make comparative study on images for better decision making. For gray scale images, thresholding is widely considered to extract key features from input image. The main objective is to enhance the key feature of an image using the best possible bi-level as well as the multilevel threshold. This paper presents a latest review of different technologies used in medical image segmentation like bacterial foraging optimization, harmony search & Electromagnetism optimization etc.