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Contour Based 3d Biological Image Reconstruction And Partial Retrieval, Yong Li Nov 2007

Contour Based 3d Biological Image Reconstruction And Partial Retrieval, Yong Li

Computer Science Dissertations

Image segmentation is one of the most difficult tasks in image processing. Segmentation algorithms are generally based on searching a region where pixels share similar gray level intensity and satisfy a set of defined criteria. However, the segmented region cannot be used directly for partial image retrieval. In this dissertation, a Contour Based Image Structure (CBIS) model is introduced. In this model, images are divided into several objects defined by their bounding contours. The bounding contour structure allows individual object extraction, and partial object matching and retrieval from a standard CBIS image structure. The CBIS model allows the representation of …


Analysis Of Very Large Scale Image Data Using Out-Of-Core Technique And Automated 3d Reconstruction Using Calibrated Images, Chandrashekara Hassan Raju Jan 2007

Analysis Of Very Large Scale Image Data Using Out-Of-Core Technique And Automated 3d Reconstruction Using Calibrated Images, Chandrashekara Hassan Raju

Browse all Theses and Dissertations

Analysis of large scale volumetric data sets is very important from the researcher's and technological point of view as it helps in understanding and analyzing the original data. For example, when analyzing volumetric images from cast arteries of pigs, it is essential to apply a suitable segmentation in order to retrieve morphometric data from the scanned image. Due to improved scanning technology, such as MicroCT, these scanned images can get as large as several gigabytes in size. In order to analyze such large scale data sets on common desktop computers is a challenge due to limited main memory. By using …