This paper presents a novel approach for pattern extraction and anomaly detection in maritime vessel traffic, based on the theory of potential fields. Potential fields are used to represent and model normal, i.e. correct, behaviour in maritime transportation, observed in historical vessel tracks. The recorded paths of each maritime vessel generate potentials based on metrics such as geographica...

This paper presents a perceptual organization based method for detecting Vessel Junctions (VJs) from retinal images. A retinal image is first segmented into edge traces which contain vessel boundaries. Each trace is divided into generic curve segments (GCSs) at curve partitioning points (CPPs). CPPs are the places on a trace from where the continuity of GCSs was broken according to perceptual o...

This thesis introduces novelty detection techniques that use a combination of Gaussian processes, extreme value theory and divergence measurement to identify anomalous behaviour in both streaming and batch marine data. The work is set in context by a review of current methodologies, identifying the limitations of current modelling processes within this domain. Marine data modelling is first imp...

The ability to detect and measure non-calcified plaques (also known as soft plaques) may improve physicians’ ability to predict cardiac events. This is a particularly challenging problem in computed tomography angiography (CTA) imagery because plaques may have similar appearance to nearby blood and muscle tissue. This paper presents an effective technique for automatically detecting soft plaque...

A BSTRACT : We have developed a multistage image analysis technique for the simultaneous segmentation of blood vessels and hypoxic regions in dualstained tumor tissue sections. The algorithm, which is integrated in a task-oriented image analysis system developed on-site, initially uses the K -nearest neighbor classification rule in order to label the image pixels. Classification is based on a t...

In this work, an algorithm has been developed for automatic detection of blood vessels in normal and abnormal retinal images. The algorithm comprises of four steps: second derivative Gaussian function filtering, local entropy thresholding, median filtering and length filtering. The algorithm so developed has been tested on twenty ocular fundus images. The results of this algorithm are compared ...

PURPOSE To obtain breast vascular map and to assess correlation between predominant feeding vessel and tumor location with a semi-automatic method compared to conventional radiologic reading. METHODS 148 malignant and 75 benign breast lesions were included. All patients underwent bilateral MR imaging. Written informed consent was obtained from the patients before MRI. The local ethics committ...

PURPOSE Retinal venous pulsation detection is a subjective sign, which varies in elevated intracranial pressure, venous obstruction and glaucoma. To date no method can objectively measure and identify pulsating regions. METHOD Using high resolution video-recordings of the optic disk and retina we measured fluctuating light absorption by haemoglobin during pulsation. Pulsation amplitude was ca...

We present a method for the reconstruction of vascular geometries from medical images. Image denoising is performed using vessel enhancing diffusion, which can smooth out image noise and enhance vessel structures. The Canny edge detection technique which produces object edges with single pixel width is used for accurate detection of the lumen boundaries. The image gradients are then used to com...

This paper is about computed tomography angiography based vessel exploration. Large image sequences of the lower extremities are investigated in a clinical environment. Two different approaches for peripheral vessel diagnosis dealing with stenosis and calcification detection are introduced. The paper presents an automated vessel-tracking tool for curved planar reformation. A user interactive se...