Due to its inferior characteristics, an observed (noisy) image's direct use gives rise poor segmentation results. Intuitively, using noise-free image can favorably impact segmentation. Hence, the accurate estimation of residual between and images is important task. To do so, we elaborate on residual-driven Fuzzy C-Means (FCM) for segmentation, which first approach that realizes leads participat...

Medical image segmentation is a key step towards medical image analysis. The objective of medical image segmentation is to delineate Region Of Interests (ROI) from the images. Hybridization of nature inspired algorithms with soft computing provides accurate image segmentation results in less computation time. In this work, various algorithms for medical image segmentation which help medical pra...

Faults are related to failures and they do not have much power for indicating a higher quality or a better system above the baseline that the end-users expect.The system faults are the defects that brim in executable files. Conventional approaches employ the experts to navigate directly into the source code errors. However expansion in system size grew the complexity of task exponentially and g...