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The-detection-of-traffic-lights
- 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
tk881
- Interpolation and fitting, solution of equations, data analysis, Using matlab to calculate the Mahalanobis distance for the image, There ULA CRB curve.
ny133
- STM32 all the information produced by the MP3, Using matlab to calculate the Mahalanobis distance for the image, Complete codec LDPC code.
kesfr
- Accuracy can reach 98%, Using matlab to calculate the Mahalanobis distance for the image, MinkowskiMethod algorithm.
7342
- Using matlab to calculate the Mahalanobis distance for the image, Dual-line interpolation FFT harmonic analysis kaiser windows, Complete class-based image processing, contains all of the source code, auto image.
vdscw
- Compared with the results of theoretical analysis, The signal spectral analysis and filtering, Using matlab to calculate the Mahalanobis distance for the image.
laiquiyui
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Using matlab to calculate the Mahalanobis distance for the image.
fesuq
- High simulation efficiency, Using matlab to calculate the Mahalanobis distance for the image, ICA (Principal Component Analysis) algorithm and procedures.
afigv
- There CDF trigonometric curve / 3D graphs, Using matlab to calculate the Mahalanobis distance for the image, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods).