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The segmentation of media-adventitia and lumen-intima boundaries of the Carotid Artery forms an essential part in assessing plaque morphology in Ultrasound Imaging. Manual methods are tedious and prone to variability and thus, developing automated segmentation algorithms is preferable. In this paper, we propose to use deep convolutional networks for automated segmentation of the media-adventitia boundary...
Ultrasound image segmentation is a field which has garnered much interest over the years. This is partially due to the complexity of the problem, arising from the lack of contrast between different tissue types which is quite typical of ultrasound images. Recently, segmentation techniques which treat RF signal data have also become popular, particularly with the increasing availability of such data...
A new, online, evolving video segmentation algorithm is presented in this paper. The proposed method segments each video frame using an evolving Gaussian mixture model (GMM) whose adaptive coefficient is automatically adjusted to cater for abrupt changes between consecutive frames. The proposed method is tested against another algorithm, which keeps the adaptive coefficient constant. The comparison...
Capsule Endoscopy is a technique designed to wirelessly image the small intestine within the gastrointestinal (GI) tract. Its main drawback is the vast amount of images it generates per patient, necessitating long screening sessions by the clinician. Previous studies have proposed to partially facilitate this process by automatically segmenting the GI tract into its constituent organs, thus identifying...
Modelling human activities as temporal sequences of their constituent actions has been the object of much research effort in recent years. However, most of this work concentrates on tasks where the action vocabulary is relatively small and/or each activity can be performed in a limited number of ways. In this work, we propose a novel and robust framework for analysing prolonged activities arising...
We propose a novel system that aids engineers in the conceptual stage of design. Our system's goal is to support the engineer without limiting his creative role; thus, our proposed method does not produce ready study solutions but rather actively monitors the design procedure, verifying design stages and pointing out potential mistakes. This is achieved with a hybrid computer vision, machine learning...
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