In recent years, with the rapid development of image communication technology, image segmentation has been widely applied in many areas such as pattern recognition, computer vision, medical image processing and RS vision and so on. In digital image processing, image segmentation is the key step from image processing to image analysis, and is also the
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Made from one of the most appropriate concept to start now, OCR (Optical Character Recognition, Optical Character Recognition) technology has experienced nearly a century, and now, for the simple text background can be efficient and accurate computer can be read into understand the electronic text. With the development of increasingly sophisticated technology, application of more
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CT images are widely used in the diagnosis and treatment of lung cancer. In recent years, the incidence rate and mortality rate of lung cancer has been both dramatically growing, currently ranks first beyond all other cancers. Hence,there are more and more patients that need to be remedied ,which increases the workload and depresses the
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Light Detection and Ranging (LiDAR) is a high-tech developed in recent years which can acquire real three-dimensional ground data quickly and accurately and widely used in city building extraction. It is difficult to extract features directly using LiDAR points cloud because their lacking of texture information, uneven density and discontinuous spatial distribution characters. However, with
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With the advent of information age, a lot of image information need for real-time and accurate processing, which gives people a great of challenges in the application of imaging technology. Because image segmentation is the foundation of image recognition and understanding, it is a key of the image engineering. But the current image segmentation is
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Currently, the quality grading of beef is still done by human visual inspecting. There are series of problems in manual operation due to the subjectivity, low-level efficiency, and some other shortcomings. Consequently, studying automatic grading method of beef quality based on the computer vision technology is of great importance, which can resolve the problems brought
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With the advent of information age, a lot of image information need for real-time and accurate processing, which gives people a great of challenges in the application of imaging technology. Because image segmentation is the foundation of image recognition and understanding, it is a key of the image engineering. But the current image segmentation is
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The Research in the field of medical imaging there are two independent research arms, medical imageing system,and medical image processing. One is the image pick-up, the formation process, including the mechanism for imaging, imaging equipment, imaging systems and other issues of the analysis. The second is that the images have already been received for further
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With the rapid development of computers, communications and multimedia, especially with the emergence of the Internet and its popularity, the growth of the image data extends in an explosive way.Thus, the traditional keyword based classification methods can not handle the massive data, and they are impossible to meet the need of individual. As a consequence,
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CT image based CAD (Computer-aided Diagnosis) technology is currently anadvanced medical imaging diagnostic clinical application technology in the world.This technology can effectively identify suspicious lesions in CT images by usingthe computer image processing technology. CAD technology can improve theaccuracy of recognition of lesions of the physician, also can reduce a lot of work ofdoctors which
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