Ranklets: A Qualitative Review
نویسندگان
چکیده
This paper reviews Ranklets, a family of multiscale, orientation-selective , non-parametric features modeled on Haar wavelets. Ranklets are related to wavelets and rank statistics. At the inception, a basic discussion on Ranklets is presented here. Next a focus is given to the various algorithms used so far to compute Ranklets with their complexities. The different applications of Ranklets in the field of face detection, point tracking, breast cancer, and texture classification have been thoroughly surveyed to analyze the strength and beauty of the Ranklet transform in advanced imaging. Finally a special effort is undertaken to mark a few novel papers to guide the future works.
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تاریخ انتشار 2011