In this thesis we consider in general image structures and more specifically, image gradients and contours. They have been proven useful in recent years for various computer graphics applications, such as Augmented Reality (AR), image and video stylization. The goal of analyzing image structures is to describe a high level understanding of image contents and to provide a powerful support to imp...

A robust way to discern facial gestures in images of faces, insensitive to scale, pose, and occlusion, is still the key research challenge in the automatic facial-expression analysis domain. A practical method recognized as the most promising one for addressing this problem is through a facial-gesture analysis of multiple views of the face. Yet, current systems for automatic facial-gesture anal...

People draw automatic social inferences from photos of unfamiliar faces and these first impressions are associated with important real-world outcomes. Here we examine the effect of selecting online profile images on first impressions. We model the process of profile image selection by asking participants to indicate the likelihood that images of their own face ("self-selection") and of an unfam...

PIV measurements near a wall are generally difficult due to low seeding density, low velocity, high velocity gradient, and strong reflections. Such problems are often compounded by curved boundaries, which are commonly found in many industrial and medical applications. To systematically solve these problems, this paper presents two novel techniques for near-wall measurement, together named Inte...

Automatic analysis of facial gestures is an area of intense interest in the human-computer interaction design community. A robust way to discern facial gestures in images of faces, insensitive to scale, pose, and occlusion, is still the key research challenge in the automatic facial-expression analysis domain. A practical method recognized as the most promising one for addressing this problem i...

In this note we present a coupled optimization model for boundary determination. One part of the model incorporates a prior shape into a geometric active contour model with a fixed parameter. The second part determines the ‘best’ parameter used in the first part by maximizing the mutual information of the image geometry between the prior and an aligned novel image over all the alignments, that ...

To super-resolve the through-plane direction of a multi-slice 2D magnetic resonance (MR) image, its slice selection profile can be used as degeneration model from high resolution (HR) to low (LR) create paired data when training supervised algorithm. Existing super-resolution algorithms make assumptions about since it is not readily known for given image. In this work, we estimate specific imag...

In this paper, a smart image sensor for real-time and high-resolution three-dimensional (3-D) measurement to be used for sheet light projection is presented. It realizes not only a sufficiently high frame rate for real-time 3-D measurement, but also high pixel resolution due to a small pixel circuit and high subpixel accuracy due to gravity center calculation using an intensity profile. Simulat...

CT Scan is based on the x-ray principal: as x-rays pass through the body they are absorbed or attenuated (weakened) at differing levels creating a matrix or profile of x-ray beams of different strength. This x-ray profile is registered on film, thus creating an image. In the case of CT. Image processing uses for detecting for objects of CT images. Edge detection; which is a method of determinin...

In the manufacturing sector and engineering, the system need for image processing with high performance capability is further increased every day. Image processing functions are used in many areas of medical and industry for product inspection, classification and also estimation of weather and agricultural productivity. Thus saving time and money in the development process and the introduction ...