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We propose an image stitching method which can compose the images with similar overlapped regions seamlessly. Traditional minimal error boundary (MEB) based method can't produce correct stitching result when the input images exist photometric inconsistency. To cope with the problem, we adopt the weighted sum of gradient and curvature as the robust feature, which represent the primary content of the...
Hematocytes image segmentation is a practice of computer medical detection which is based on the medical characteristics of blood cells, the Computer Graphics, and Image Segmentation. In this paper, we have proposed a new color components' computing method on different color spaces for image segmentation based on blood cells biology, image and color features. First, original image is changed between...
Focusing on the problem that the detection accuracy of traffic detection system is sensitive to the changes of complex environments, this paper presents an improved method of vehicle detection. It builds and updates the background adaptively. Additionally, to improve the computation efficiency of shadow elimination, a fast algorithm of neighbor mean based on HSV model is proposed. As the occlusion...
Image segmentation of hematocyte is a practice of computer medical detection which is based on the medical characteristics of hematocyte, the Computer Graphics, and Image Segmentation. In this paper, we have proposed anew color components' exchanging method on different color spaces for image segmentation. First, extract the color components of the original image, then exchange the order of color...
Perceptual information is quickly gaining importance in mesh representation, analysis and rendering. User studies, eye tracking and other techniques are able to provide ever more useful insights for many user-centric systems, which form the bulk of computer graphics applications. In this work we build upon the concept of Mesh Saliency - an automatic measure of visual importance for triangle meshes...
3D image segmentation is one of the most demanding tasks in image processing. The applications comprise industrial and scientific tasks. Due to the high data volume advanced algorithms cannot be processed on standard hardware in real time. We propose the perfectly parallelizable 3D grey-value structure code (3D-GSC) for image segmentation on a new FPGA custom machine. This 128-bit FPGA co-processing...
Occlusion is one of the challenging problems in stereo. In this paper, we solve the problem in a segment-based style. Both images are segmented, and we propose a novel patch-based stereo algorithm that cuts the segments of one image using the segments of the other, and handles occlusion areas in a proper way. A symmetric graph-cuts optimization framework is used to find correspondence and occlusions...
This paper presents a new and efficient algorithm for the decomposition of 3D arbitrary triangle meshes into surface patches. The algorithm is based on the curvature tensor field analysis and presents two distinct complementary steps: a region based segmentation, which is an improvement of that presented by [G. Lavoue et al., (2004)] and which decomposes the object into known and near constant curvature...
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