With the maturation of machine vision and the rapid development of visual sensors towards to high-speed, high accuracy and high sensitivity, monocular vision measurement technology are being used more extensively. It has been already the new star at the fields of aerospace, industrial automation, artificial intelligence and so on. The purpose of this paper is
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Limited to the hardware, environment and human factors, images are often suffered from noise in acquisition, transmission or conversion processing, which usually degrades the visual quality of the images. To reduce noise and improve image quality, for better meeting the following image processing and application requirements, image filtering has become an important part of image
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Limited to the hardware, environment and human factors, images are often suffered from noise in acquisition, transmission or conversion processing, which usually degrades the visual quality of the images. To reduce noise and improve image quality, for better meeting the following image processing and application requirements, image filtering has become an important part of image
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With the development of embedded systems, the requirement of hardware-based image processing grows rapidly. Embedded systems have a flexible feature in cutting hardware and software. And hardware implementation possesses the advantages of high-speed and real-time. It is possible that image processing algorithms are implemented in hardware, because FPGA has flexible programmable, reconfigurable performance, high integration
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With the development of embedded systems, the requirement of hardware-based image processing grows rapidly. Embedded systems have a flexible feature in cutting hardware and software. And hardware implementation possesses the advantages of high-speed and real-time. It is possible that image processing algorithms are implemented in hardware, because FPGA has flexible programmable, reconfigurable performance, high integration
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As computer technology develops, clinical medical treatment demands higher standard for medical image process technologies. In this field, doctors often use medical images that are taken from different devices or taken from the same equipment but at different period or angles to make the correct decisions. However, because of the different concepts or the various
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Biometric recognition technology is used for identification authentication by usinghuman’s unique physical characteristics or behavioral traits. In information age, accurateidentification of a person’s authentication and protect their information security hasbecome a critical social problem. The traditional identity authentication methods have beendifficult to meet the needs of society, and biometric recognition technology has become thepreferred choice.The
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There are a lot of factors such as the phase difference of the optical system, the atmosphere turbulence, moving diffusion of the focus and the system noise that degrade the digital images during their obtaining. The destination of image restoration is to recover image that has been degraded and make sure that the processed image
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Due to the huge increase in the amount and kinds of digital images available in the”Internet era”, making efficient Content-Based Image Retrieval (CBIR) has become one of the major endeavors. Human beings are the main body of modern information society, so the images of them are the most commonly used types of images in the
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In the process of image formation, image transmission, image reception and image processing, the disturbance of image can not be avoided, the noise would deteriorate the quality of images, which can make the images become obscured, so the image filtering techniques take an important position in image processing field. In many image-processing techniques, Median Filtering
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