Category: IEEE 2017

Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment

Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment Abstract A new approach to blind image quality assessment (BIQA), requiring no training, is proposed in this paper. The approach is named as blind image quality evaluator based on scales and works by evaluating the global difference of the query image analyzed at different […]


Iterative Vessel Segmentation of Fundus Images

Iterative Vessel Segmentation of Fundus Images Abstract This paper presents a novel unsupervised iterative blood vessel segmentation algorithm using fundus images. First, a vessel enhanced image is generated by tophat reconstruction of the negative green plane image. An initial estimate of the segmented vasculature is extracted by global thresholding the vessel enhanced image. Next, new […]