Ahmad Ali

TL;DR: An extensive comparison of various colon cancer detection categories, and of multiple techniques within each category is provided, and most of the techniques have been evaluated on similar data set to provide a fair performance comparison.

TL;DR: This article introduces the readers to VOT and its applications in other domains, different issues which arise in it, various classical as well as contemporary approaches for object tracking, 4) evaluation methodologies for VOT, and 5) online resources, i.e., annotated datasets and source code available for various tracking techniques.

TL;DR: A novel method for appearance model updating which adapts the template according to rate of appearance change of target, adaptive threshold for similarity measure which uses the variable threshold for each forthcoming image frame based on current frame peak similarity value, and adaptive kernel size for fast mean-shift algorithm based on varying size of the target are presented.

TL;DR: Results have proven the superiority of CLIC over other schemes, especially in case of diseased red blood cells, as well as comparative study of segmentation by CLIC and a few other state-of-the-art segmentation algorithms.

TL;DR: Improved version of the NLM algorithm which is modified in two ways, a robust threshold criterion is introduced, which helps selecting suitable pixels for participation in the restoration process and the search window size is made adaptive using a window adaptation test based on the proposed threshold criterion.