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For lung tissue adhesion of the situation in the lung CT images, based on the classical watershed algorithm, this introduce line-encoded ideology, use contour tracing method to determine adhesion region segmentation points, according to segment code to get the split line, thus separating the adhesion region. Experimental results show that this method will be effective in the lung adhesion region segmentation,...
Image inpainting aims to restore lost information according to gray patterns from known area. PDE and texture synthesis are both widely applied in image inpainting. A new image inpainting algorithm combined those two kinds of methods are presented. Damaged region pixels are classified into texture pixels and structure pixels, which are inpainted with corresponding algorithms. Texture classification...
For all video applications, large amounts of data are processed within a bounded time. These data are usually stored in a low-cost slow external DRAM which results in high memory bandwidth requirement. The memory bandwidth will dominate the system performance, especially for applications running on embedded systems. In this paper, we propose an effective dictionary-based compression and de-compression...
We present a high-performance and low-power pure-hardware accelerator for decoding H.264/AVC video. We propose novel VLSI architectures for every stage of the decoding pipeline. We wrap the decoder core with an AMBA bus interface, integrate it into a multimedia SOC platform, and verify it with FPGA prototyping. In order to reduce external memory traffic, we propose a memory fetch unit to increase...
Background modeling is usually the first step in vision-based surveillance systems. Subsequent foreground segmentation can then be performed by comparing the variations between the current image and the reference background of the monitored scene. Various approaches have been proposed to deal with this issue. They differ in the type of background models used. However, these approaches emphasize only...
A crucial problem that involves feature-based image registration algorithms is how to reliably establish the correspondence between the features detected in the sensed image and those detected in the reference image. Generally, most existing methods only use spatial relations or feature similarity, or a simple combination of them, to solve this problem, and all have some limitations. In this paper,...
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