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2D-3D image registration has been adopted in many clinical applications such as image-guided surgery and the kinematic analysis of bones in knee and ankle joints. In this paper we propose a new single-plane 2D-3D registration algorithm which requires far less iteration than previous techniques. The new algorithm includes a new multi-modal similarity measure(More)
Image segmentation can be viewed as the process of classifying regions in a picture into groups with common properties (e.g., texture). A difficulty arising is that a common texture can be classified differently when viewed at different scales and rotated viewpoints. The paper presents a feature vector based on the DT-CWT (dual-tree complex wavelet(More)
Widespread use of digital imagery has resulted in a need to manage large collections of images. Systems providing query by example (QBE) capability offer improved access to contents of image libraries by retrieving matches to a query image. Texture is an important feature to consider in the matching process. However, standard approaches often employ a(More)
In this paper, we propose a robust approach to super-resolution static sprite generation from multiple low-resolution images. Considering both short-term and long-term motion influences, a hybrid global motion estimation technique is first presented for sprite generation. An iterative super-resolution reconstruction algorithm is then proposed for the(More)
BACKGROUND Early adulthood represents the transition to independent living which is a period when changes in diet and body weight are likely to occur. This presents an ideal time for health interventions to reduce the effect of health problems and risk factors for chronic disease in later life. As young adults are high users of mobile devices, interventions(More)
3D computed tomography (CT) to single-plane 2D fluoroscopy registration is an emerging technology for many clinical applications such as kinematic analysis of human joints and image-guided surgery. However, previous registration approaches have suffered from the inaccuracy of determining precise motion parameters for out-of-plane movements. In this paper we(More)
The reliance of many video processing techniques on motion estimation requires a good motion confidence measure, in order to ensure that unreliable estimations are not accepted into a system. This paper proposes a new measure of motion confidence based on phase information from Fourier transform of a video frame. Using the measure, blocks associated with(More)