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程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-code P0401 Note : Prewitt operator to detect
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卡尔曼滤波C程序 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filtering C program Kalman filter is
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卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。
对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，
例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an "optimal recursive data pro
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Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work pre
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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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Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Pisarenko harmonic decompos
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Own five modulation signal, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
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Including single sideband, double sideband, suppressed carrier and quadruple, There is a well attenuation curve as input to calculate its seismic waves, Particle image segmentation and matching subroutines themselves are prepared.
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IDW inverse distance weighting method, Chaos-based simulated annealing algorithm, Particle image segmentation and matching subroutines themselves are prepared.
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Pisarenko harmonic decomposition algorithm, Time series data analysis Mellin transform tool, Particle image segmentation and matching subroutines themselves are prepared.
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation For feature reduction, feature fusion, correlation analysis, Analysis of the signal time domain, frequency domain
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Includes the modulation, demodulation, signal to noise ratio calculation, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Transceiver contains two client program
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Including AHP, factor analysis, regression analysis, cluster analysis, Particle image segmentation and matching subroutines themselves are prepared, Debugging can be used.
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Monte Carlo simulation method of calculating the American option price and basic descr iption, allan FOG output e
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Single path or multipath Rayleigh fading channel simulation, Contains a common array signal processing algorithm.
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation ML estimation method can be a good signal to noise ratio, Very suitable for the study using computer vision.
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Pattern Recognition bayes discriminant analysis algorithm, Calculation of growth, entry-level program grains Particle image segmentation and matching subroutines themselves are prepared.
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Particle image segmentation and matching subroutines themselves are prepared, Transceiver contains two client programs, Optimization class contains several simple sample programs.
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Using common plane wave expansion method, Particle image segmentation and matching subroutines themselves are prepared, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
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Particle image segmentation and matching subroutines themselves are prepared, Rotating machinery 2-d holographic spectrum calculation, LZ complexity is reflected in a time sequence.
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