摘要：The identification and segmentation of tumors in the human brain MRI are very difficult and time-consuming tasks. In the segmentation process, the optimum threshold value is obtained by the methods called Otsu’s and Kapur entropy. The objective functions of these methods are computed using the Cuckoo-McCulloch procedure with levy flight for its accuracy and computational time. In this study, the proposed method incorporating McCulloch’s method for the levy-flight generation which is a computationally efficient image segmentation algorithm, the proposed method has compared the performance of efficient CS with Mantegna’s method. The overall-performance of an efficient CS algorithm is also compared and discussed with other popular methods and also the proposed efficient CS method is prominent and computationally efficient for magnetic resonance imaging. Experimental results encourage related researches in image processing, computer vision.
