In this paper, we propose a method for structure lane detection; the method is based on two features: color and direction. This method can improve the robustness and accuracy of lane detection. Two kinds of saliency map have been calculated: color saliency map and direction saliency map. The final saliency map is the combination of the two map mentioned above. The binary image is getting from the final saliency map, and the feature points which used for fitting have been selected. The road region is segmented by the lanes. Experiment result shows that the proposed method produces better performance against some other methods.
To the question that traditional image inpainting methods depend on the structure characteristics of the image .The image inpainting method, on the basis of Bayesian compressive sensing, transforms the sparsity of the damaged image first, then gets the posterior distribution function of the sparse coefficient through Bayesian compressive sensing. At last, the mean and the variance of the distribution function are obtained. The mean can be used as the estimation of the sparse coefficient of the image, and the variance is the estimation of the noise. The emulation results proved that this method can improve the inpainting quality of images.
A set of paper defect extraction IP core based on FPGA is introduced in this paper. Relying on FPGA powerful data processing capabilities and parallel architecture, the paper image acquisition, pre-processing and defect extraction function were achieved in an IP core. The IP core has been testing and running in some paper defect detection and recognition systems. As a result the system was stable and reliable which could ensure to achieve a paper defect extraction function. And it contributes to the design of paper defect detection and recognition system.
The Ball Mill System (BMS) is a strongly coupled MIMO system,in order to implement a long-term automatic operation of the BMS effectively,and improve the automation level and efficiency, the paper present the overall design of the system,the control system is composed of Siemens SIMATIC S7-400PLCS7-200PLC,the PROFIBUS DP protocol and MPI protocol are both employed to setup a DCS networking.This control system has been running steadily and efficiently and the operation record showed that a satisfying control result is obtained.InroductionBall mill system is an important link in the modern industrial production,its the main boiler auxiliary equipment.Its work directly affecting the operation of the boiler, the system in the chemical plant, thermal power plant, ore mining and smelting has a wide range of applications, and ball mill system is a large power consumption. The Electricity consumption accounted for factorys power 15%~25%. Safe and economical operation of ball mill system not only directly affects the security and reliability of the generator at the plant and also is the important way of energy saving and consumption reducing[.
In allusion to the contradiction between salt-and-pepper noise attenuation and image detail-preserving, a maximum-minimum filtering algorithm base on threshold is proposed in this paper. The gray values of the pixels in the filtering windows are given firstly. If the test pixel value is the extreme value of the filtering windows, this pixel is a suspicious noise point. And then sort the absolute value of the difference between the suspicious noise point value and pixels gray value in its neighborhood. Judge the pixel is a real noise point according to the average value of the middle two values in the difference sequence. The original gray value of noise point is determined by the maximum-minimum relationship between the pixel values of the neighborhood. If the pixel is not a noise point, its value is kept. The simulation results show that the proposed algorithm has greatly impact on signal to noise ratio and mean square error which retains more image details while making sure to remove noise.
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