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Traditional, the hardcopy of cadastral map is an important historical evidence for the land parcels information in the Land Office. However, the paper is not easy to save and the size of the scanner is not large enough for digital storage either. In this study, multi-view image processing technology is applied to create a true ortho-photo of cadastral map for solving the storage problem.
Traffic panels contain rich text and symbolic information for transportation and scene understanding. Fast detection of traffic panels facilitates text information extraction but has been paid little attention by the community. In this paper, we propose a fast and robust approach for rectangular traffic panel detection from traffic scene images. Considering the rectangular shape of traffic panels,...
The fast development of microscopy imaging techniques nowadays promotes the generation of a large amount of data. These data are very crucial not only for theoretical biomedical research but also for clinical usage. In order to decrease the inter-intra observer variability and save the human effort on labeling and classifying these images, a lot of research efforts have been devoted to the development...
Accurate liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computer aided diagnosis (CAD) for liver CT. Recently, interactive segmentation plays an important role in liver segmentation. In this paper we propose a fast hybrid method for liver segmentation from abdominal CT image. Firstly, the CT image is enhanced and denoised by linear stretch...
Saws are important tools of cutting process in industrial production. However there are often wasters with surface defects due to processing technique, therefore the detection of surface defects of saws is crucial to the quality. This paper concerns the segmentation of brazing-area of saw. Considering real-time request of the detection, Otsu method which is simple and rapid was used. HSV color space...
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC algorithm discovers the association rules with the frequency count (minimum support) and ranking threshold (minimum confidence) while restricted to the concepts (class labels). In this paper, we propose a novel framework with...
In this paper, a new approach to detect masses in digital mammograms is presented. Firstly, preprocessing procedure is carried out to enhance the contrast between mass and surrounding tissue based on the algorithm of exponential transformation, which maps a narrow range of high grey-level values into a wider range of output levels. After preprocessing, pyramid segmentation algorithm is used to segment...
Accurate liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computer aided diagnosis (CAD) for liver CT. In this paper, we present a hybrid method for semiautomatic delineation of the liver contours on CT images. Firstly, the CT images are enhanced and denoised by a method based on histogram equalization and anisotropic diffusion filtering; Then,...
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