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交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先,建立交通信号灯的高斯模型,利用高斯向量与多色彩空间结合的方法进行图像分割。然后,采用基于区域增长与相似性判定的关联滤波,对色彩分割后的图像进行处理。最后,使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征,并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights
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Using matlab to calculate the Mahalanobis distance for the image, Prediction Error Method for Parameter Identification - the idea of relaxation, You can achieve data classification and regression pattern recognition.
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Of spherical harmonics graphic simulation, You can achieve data classification and regression pattern recognition, In the MATLAB image texture feature.
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Build a framework OFDM communication system, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, You can achieve data classification and regression pattern recognition.
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