摘要：To study the application of TMS320C80 in image processing, an image processing system was designed based on this device, and the task of real time image processing was well accomplished on the hardware platform. TMS320C80 architecture's high degree of on chip integration and software flexibility will make it widely used in image processing that requires high processing speeds.

摘要：A real-time system of numeral image manipulation technology is employed to inspect the dynamic displacement of an engineering structure. First, the CCD vidicon aims at the fixed point. The image of the fixed point on the structure is gathered by a picture gathering card. By processing pictures with a self-programmed software, the real-time space coordinate of the cali- bration device can be obtained. Finally, the data is dealt with to get the movement curve, and the dynamic displacement is carried out. The system is applied to the test of a high voltage icing conductor. The result indicates that the dynamic data of the ice shedding conductor includes jumping amplitude, displacement-time curve and attenuation process.

摘要：In this paper the design and implementation of Multi-Dimensional (MD) filter, particularly 3-Dimensional (3D) filter, are presented. Digital (discrete domain) filters applied to image and video signal processing using the novel 3D multirate algorithms for efficient implementation of moving object extraction are engineered with an example. The multirate (decimation and/or interpolation) signal processing algorithms can achieve significant savings in computation and memory usage. The proposed algorithm uses the mapping relations of z-transfer functions between non-multirate and multirate mathematical expressions in terms of time-varying coefficient instead of traditional polyphase de- composition counterparts. The mapping properties can be readily used to efficiently analyze and synthesize MD multirate filters.

摘要：The traditional single image dehazing algorithm is susceptible to the prior knowledge of hazy image and colour distortion.A new method of deep learning multi-scale convolution neural network based on HSI colour space for single image dehazing is proposed in this paper,which directly learns the mapping relationship between hazy image and corresponding clear image in colour,saturation and brightness by the designed structure of deep learning network to achieve haze ***,the hazy image is transformed from RGB colour space to HSI colour ***,an end-to-end multi-scale full convolution neural network model is *** multi-scale extraction is realized by three different dehazing sub-networks:hue H,saturation S and intensity I,and the mapping relationship between hazy image and clear image is obtained by deep ***,the model was trained and tested with hazy data *** experimental results show that this method can achieve good dehazing effect for both synthetic hazy images and real hazy images,and is superior to other contrast algorithms in subjective and objective evaluations.

摘要：The conventional photoelectric detection system requires complex circuitry and spectroscopic systems as well as specialized personnel for its *** replace such a system,a method of measuring turbidity using a camera is proposed by combining the imaging characteristics of a digital camera and the high-speed information processing capability of a *** turbidity measurement devices based on visible and near-infrared(NIR)light cameras and a light source driving circuit with constant light intensity were *** RGB data in the turbidity images were acquired using a self-developed image processing software and converted to the CIE Lab color *** on the relationship between the luminance,chromatic aberration,and turbidity,the turbidity detection models for luminance and chromatic aberration of visible and NIR light devices exhibiting values from 0-1000 NTU,less than 100 NTU,and more than 100 NTU were *** comparing and analyzing the proposed models,the two measurement models with the best all-around performance were selected and fused to generate new measurement *** experimental results prove that the correlation between the three models and the commercial turbidity meter measurements exhibite a significance value higher than *** error of the fusion model is within 1.05%,with a mean square error of *** visible light device has less error at low turbidity measurements and is less influenced by the color of the *** NIR light device is more stable and accurate at full range and high turbidity measurements and is therefore more suitable for such measurements.