Applying graph-theoretic concepts to solve computer vision problems makes it not only trivial to analyze the complexity of the problem at hand, but also existing algorithms from the graph-theory literature can be used to find a solution. We consider the challenging tasks of frame selection for use in mosaicing, and feature selection from Computer Vision, and Machine Learning, respectively, and ...

Image mosaicing is a trendy research area in computer vision in recent years. Instead of images, video frames can be mosaiced to form a larger aggregate. In both cases, merging computations generally depend on the common parts in consecutive images, which are called overlapping regions. The presence of mobile devices with a camera provides higher image and video acquisition; hence video mosaici...

BACKGROUND The diagnosis of plus disease in retinopathy of prematurity (ROP) largely determines the need for treatment; however, this diagnosis is subjective. To make the diagnosis of plus disease more objective, semi-automated computer programs (e.g. ROPtool) have been created to quantify vascular dilation and tortuosity. ROPtool can accurately analyze blood vessels only in images with very go...

Unmanned Aircraft Systems have been used in many military and civil applications, particularly surveillance. However, video frames are often blurry, noisy, and exhibit insufficient spatial resolution. This project aims to develop a vision-based algorithm to improve the quality of UAS video frames. This algorithm will be able to generate high resolution mosaic output through a combination of ima...

In this paper, we present feature-based technique for construction of mosaic image from underwater video sequence, which suffers from parallax distortion due to propagation properties of light in the underwater environment. The most of the available mosaic tools and underwater image mosaicing techniques yields final result with some artifacts such as blurring, ghosting and seam due to presence ...

In real-life situations, the field of view of the imaging devices is usually smaller than the scene to be imaged, due to the inherent limitations of the imaging devices. Even if the whole scene is captured in a single exposure, it could result in an image having poor resolution. In such circumstances, it will never be possible to capture the scene as a single image for further processing or hum...