With the development of the transmission line,it is more and more important to analyze the unbalanced tension of the *** non-contact method of measuring the insulator deflection angle uses imageprocessing techniques,...
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ISBN:
(纸本)9781510823808
With the development of the transmission line,it is more and more important to analyze the unbalanced tension of the *** non-contact method of measuring the insulator deflection angle uses imageprocessing techniques,and the experimental results show that this method has better recognition speed and ***,we capture insulator image by using a camera fixed on the tower;then use image filtering,image thinning techniques for image ***,we extract the central axis of insulator using Hough transformation,get the insulator deflection angle and analyze the unbalanced *** can be worked out by the corresponding computer program.
In order to investigate the knittability of high-performance fiber, the method that the curvature radius of the needle loops is employed to investigate the knitting action of high-performance fibre. The carbon fiber a...
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In order to investigate the knittability of high-performance fiber, the method that the curvature radius of the needle loops is employed to investigate the knitting action of high-performance fibre. The carbon fiber and the UHMW-PE fiber were knitted into the plain knitted structure and 1×1 rib structure with three different DSC values. images of the knitting action were taken by using a digital camera, then the images were treated and analyzed, and the geometrical equation of the curve of the needle loop was fitted by using a polynomial function and the curvature radius of needle loop was calculated. The results of the experiments indicate that the material and the DSC value are two important influence factors. These results show that the method is effective for investigating the knittability of high-performance fibre.
With the agricultural Internet of Things technology, real-time images of tomato plants can be obtained and processed through the remote video surveillance system. The image processing technology and the conventional n...
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ISBN:
(纸本)9781450376631
With the agricultural Internet of Things technology, real-time images of tomato plants can be obtained and processed through the remote video surveillance system. The image processing technology and the conventional neural network (CNN) based on visual algorithms will be used to process the collected images so as to accomplish the acquisition, processing and analysis of physiological indexes of tomato plants, which can identify the growth status of plants by breeading good traits and obtaining high-quality germplasm resources, improve agricultural production effciency and mitigate the loss caused by pest, insufficient of nutrition of soil and so forth.
In order to prevent fatigue driving, through many studies of the driver's eyes, a Matlab-based fatigue driving detection system is designed and simulated based on image processing technology. The system samples se...
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In order to prevent fatigue driving, through many studies of the driver's eyes, a Matlab-based fatigue driving detection system is designed and simulated based on image processing technology. The system samples sequences of images with an camera and its built-in light source, and then locates the eye-point in the image and tracks it, calculates the area of the eyes, finally makes judgment on whether the driver is driving with fatigue or not and warns him according to the judgment. The simulation test result shows that the recognition ratio of shallow fatigued drivers is 81.5％, and the recognition ratio of moderate fatigued drivers and deep fatigued drivers is 100％.
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