A Computationally Efficient Retina Detection and Enhancement Image Processing Pipeline for Smartphone-Captured Fundus Images

Secondly, the different steps of the proposed registration method are divided in three parts: the pre-treatment (based on contrast enhancement), and the pattern recognition

This paper differs from existing work using non-deep models by adopting more rigourous testing on a larger set of data, investigat- ing RFs as a potential solution and exploring

A Gaussian resolution hierarchy (Gaussian pyramid) is generated from the green channel of the fundus image, as it provides a reasonable contrast between the vessels and the

This new colour contrast method is very promising tool to assist graders in diagnosing the presence of diabetic retinopathy and other lesions present in digital eye fundus images

We define the transmittance of color images in order to give a physical justification, on which will be based the definition of logarithmic operators like addition, subtraction

In this paper, we presented a natural language processing pipeline for Quickref, allowing us to analyze corpus extracted from Quicklisp libraries docstrings, README files, or

One of the most common techniques used to detect moving objects in a video sequence captured by a moving camera is background subtraction based on background modelling..

Such algorithms provide dictionaries that are well adapted to the data but they do not lead to fast algorithms because of the lack of structure of the dictionary, and storing D as