A nucleosoroe-free region or gap containing the or igin of repl icat ion and the transcriptional promoter elenents 1s observed on 20 to 25% of the SV40 mini chromosomes Isolated at physiological 1on1c strength late In In fec t ion. We used the preferential sens i t iv i ty of the gapped minichromosomes to rest r ic t ion enzymes to obtain sucrose gradient fractions containing 50 to 80% of gappe...

Of the many proposed image segmentation methods, region growing has been one of the most popular. Research on region growing, however, has focused primarily on the design of feature measures and on growing and merging criteria. Most of these methods have an inherent dependence on the order in which the points and regions are examined. This weakness implies that a desired segmented result is sen...

A 15-year-old boy presented with acute exacerbation of chronic headache, as well as new onset nausea, vomiting, and visual changes. Past medical history and review of systems were noncontributory. Physical examination revealed mild papilledema and paralysis of upward gaze. The patient was subsequently referred for an emergent head CT, which was initially performed without contrast but then with...

A novel wavelet transform coding method based on the classiication of diierent wavelet amplitude regions is proposed. By using a low-complexity but eecient prediction model, we can distinguish diierent wavelet amplitude regions at upper subbands. Therefore, adaptive quantizers can be applied to diierent regions to achieve better reconstruction quality. The the main advantage of this algorithm i...

This paper introduces a technique for region-based pose tracking without the need to explicitly compute contours. We assume a surface model of a rigid object and at least one calibrated camera view. The goal is to find the pose parameters that optimally fit the model surface to the contour of the object seen in the image. In contrast to conventional contour-based techniques, which acquire the c...

Image classification using low-level features is always a challenging research in computer vision. Recent years, content-based image retrieval has emerged as an important area in computer vision and multimedia computing. In this project, I'm going to introduce and implement an approach [1] that can better represent the image using low-level features and then I apply this method in image classif...