The wavelet transform has been applied in the field of image denoising for many years, but with the development and improvement of wavelet theory and the new wavelet proposed, the area of its application in image denoising is constantly developing. Wavelet threshold denoising method, which has simpler and less computation, has been recognized and valued.
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Industrial robots are used largely in modern manufacturing with the development of flexible assembly and intelligent manufacturing system. As the objects being operated by the robots distribut randomly and the target trajectory changes uncertainly in the process of tracking, the sensor system based on machine vision requires high speed, high accuracy, simple data output. Developing
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Industrial robots are used largely in modern manufacturing with the development of flexible assembly and intelligent manufacturing system. As the objects being operated by the robots distribut randomly and the target trajectory changes uncertainly in the process of tracking, the sensor system based on machine vision requires high speed, high accuracy, simple data output. Developing
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With the rapid development of digital products, image processing is used in a lot of fields. During acquisition and transmission in practical application, images are often subject to several types of noise, which will make the image quality deterioration; therefore, image denoising is very important before the processing. Image denoising filtering algorithm directly affects the
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Information processing is the central task of WSN applications. As a very important technique, digital filters are widely used in many fields of information processing. The digital filters for WSN applications must be simple as well as high efficient to meet the performance demands of WSN because the sensor nodes are often highly constrained by
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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 the improvement of image sensor technology and digital image process theory, digital camera has been widely used today. This dissertation researches into the noise reduction and color interpolation algorithms for digital camera. The noise reduction is the basic guarantee of the image quality, and the color interpolation is the key algorithm for the reconstruction
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Nowadays, manufacturing industry becomes more and more competitive.Manufacturing plants all over the world have to enhance the degree of automationand system stability in order to cut cost and expand production and improvecompetitiveness. The increasing cost of labor, request for more high-quality products,growing proportion of automated manufacturing systems and many other factorscontribute to the urgent needs
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In recent years, as the requirement for high quality of watermelon seeds increases, it’s important to sort the seeds before frying. It’s difficult to sort the seeds of watermelon because of its flat granule with irregular shape and nonuniform colours. With the enlarged production, the inefficient manual sorting cannot meet the needs of requirements. Therefore,
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