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基于图像处理的汽车指针仪表检测研究 被引量:11
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作者 徐洋 张清蓉 《计算机应用与软件》 CSCD 北大核心 2014年第8期219-221,252,共4页
研究一种基于图像处理技术的汽车指针仪表自动检测系统。在OpenCV的编程环境中,利用图像处理技术,实现图像细化、图像二值化等图像预处理。采用一种改进的概率霍夫变换与RGB颜色通道相结合的方法,实现汽车仪表的指针检测。这种方法能减... 研究一种基于图像处理技术的汽车指针仪表自动检测系统。在OpenCV的编程环境中,利用图像处理技术,实现图像细化、图像二值化等图像预处理。采用一种改进的概率霍夫变换与RGB颜色通道相结合的方法,实现汽车仪表的指针检测。这种方法能减少运算量,并准确地识别出指针直线。 展开更多
关键词 图像处理 图像细化 概率霍夫换 RGB颜色通道
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Sub-pixel extraction of laser stripeand itsapplication in laser plane calibration 被引量:2
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作者 陈平 张志胜 +1 位作者 戴敏 陈恺 《Journal of Southeast University(English Edition)》 EI CAS 2015年第1期107-112,共6页
For calibrating the laser plane to implement 3D shape measurement, an algorithm for extracting the laser stripe with sub-pixel accuracy is proposed. The proposed algorithm mainly consists of two stages: two-side edge... For calibrating the laser plane to implement 3D shape measurement, an algorithm for extracting the laser stripe with sub-pixel accuracy is proposed. The proposed algorithm mainly consists of two stages: two-side edge detection and center line extraction. First, the two-side edge of laser stripe is detected using the principal component angle-based progressive probabilistic Hough transform and its width is calculated through the distance between these two edges. Secondly, the center line of laser strip is extracted with 2D Taylor expansion at a sub-pixel level and the laser plane is calibrated with the 3D reconstructed coordinates from the extracted 2D sub-pixel ones. Experimental results demonstrate that the proposed method can not only extract the laser stripe at a high speed, nearly average 78 ms/frame, but also calibrate the coplanar laser stripes at a low error, limited to 0.3 mm. The proposed algorithm can satisfy the system requirement of two-side edge detection and center line extraction, and rapid speed, high precision, as well as strong anti-jamming. 展开更多
关键词 sub-pixel extraction center line extraction laser plane calibration progressive probabilistic Hough transform (PPHT) principal component (PC) angle 2D Taylor expan- sion
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