Heartworm tracking using FGMP algorithm in dogs intestine

Recently, it is being found that the most common parasitic worm are found inside a dog is heartworms. Usually puppies and almost all dogs are infected by this heartworms. It disturbs their lives also. These worms are contracting in different ways which makes them easy to spread and very hard to control. In this paper, considering the problem we proposed a method which is used for detecting multi-moving heartworms and also helps in detecting them by an approach naming-Fine Grained Multithreading Parallel (FGMP) approach. To track the original heartworm, the output from one frame is compared with the result of another frame obtained from optical flow estimator. Then, to perform morphological closing to structure the elements using strel function, the output result is fed. From our knowledge and thoughts other than existing approaches, this developed method is capable of detecting multi-moving heartworms quickly.