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A large number of real images possess the property of intensity non-homogeneity, which hinders them from being segmented by many image segmentation approaches. Recently, region-based active contour models utilizing local information have been introduced to segment images with intensity non-homogeneity. However, all these models are not convex, thus a good(More)
To achieve robustness against different images, a novel region-based geometric deformable model framework employing neighboring information constraints is proposed. The fundamental power of this strategy makes uses of the image information at the support domain around each point of interest, thus effectively enlarges the capture range of each point to have(More)
This thesis has been read by each member of the following graduate committee and by majority vote has been found to be satisfactory. We present a new technique to locate mathematical expressions in document images using images of handwritten queries, without the use of optical character recognition. In our approach, two types of X-Y cutting are used to(More)
Non-invasive electrocardiographic imaging (ECGI) combines body surface electrocardiographic information with anatomical data to estimate electrical dynamics of the heart on the surface or transmurally across the depth of the myocardium. As a standard practice, ECGI techniques rely on anatomically detailed heart and torso models derived from high quality(More)
Embryonic heart morphogenesis (EHM) is a complex and dynamic process where the heart transforms from a single tube into a four-chambered pump. This process is of great biological and clinical interest but is still poorly understood for two main reasons. On the one hand, the existing imaging modalities for investigating EHM suffered from either limited(More)
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