Segmentation method of traffic signal lamp
A technology of traffic lights and signal lights, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of large segmentation deviation, affect the information processing and decision-making of smart devices, hinder the development and application of intelligent transportation, and achieve the removal of signal light pixels lost effect
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[0018] Signal light segmentation is the front-end processing in intelligent traffic image processing, and is the basis for subsequent signal light detection and recognition. Through this segmentation process, on the one hand, the suspected signal light area is separated from the overall image area, reducing the cost of signal light detection and recognition. Area, on the other hand, needs to remove false targets generated by other distractions, such as leaves, interfering light, etc. as much as possible, so as not to cause erroneous results. In addition, a good segmentation algorithm also helps to preserve features such as the outer contour of the signal light, which is helpful for subsequent processing such as signal light recognition. The flow process of the signal lamp segmentation method of the present invention is as follows figure 1 shown. It includes conversion of RGB image to HSV image, one-dimensional Gaussian fitting of chroma and saturation channels in HSV image, s...
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