本文将解析Halconcreate_class_gmm算子的参数,以便更好地理解和应用该算子。 1.输入图像参数(Image) 输入图像是Halconcreate_class_gmm算子处理的主要数据源。该参数接受一个灰度图像或彩色图像。对于多通道的彩色图像,算子将自动将其转换为灰度图像进行处理。 2.特征参数(Feature) 特征参数是用于训练GMM模型的特征向量...
halconcreate_class_gmm 算子参数解析 HalconCreateClassGMM 是一个用于创建高斯混合模型 (Gaussian Mixture Model, GMM) 的算子。GMM 是一种概率模型，常用于图像分割和聚类。以下是 HalconCreateClassGMM 算子的参数解析：1. ObjectHandle: 输出参数，表示新创建的 GMM 对象的句柄。2. Image: 输入参数，表示要用于...
GMMHandle(output_control)class_gmm→(handle) GMM handle. 例程(HDevelop) * Classification with Gaussian Mixture Models create_class_gmm (NumDim , NumClasses, [1,5], 'full', 'none',\ NumComponents, 42, GMMHandle) * Add the training data for J := 0 to NumData-1 by 1 * Features :=...
If the parameters are valid, the operatorcreate_class_gmmreturns the value 2 (H_MSG_TRUE). If necessary an exception is raised. Possible Successors Christopher M. Bishop: “Neural Networks for Pattern Recognition”; Oxford University Press, Oxford; 1995. ...
If the parameters are valid, the operatorcreate_class_gmmreturns the value 2 (H_MSG_TRUE). If necessary an exception is raised. Possible Successors Christopher M. Bishop: “Neural Networks for Pattern Recognition”; Oxford University Press, Oxford; 1995. ...
If the parameters are valid, the operatorcreate_class_gmmreturns the value 2 (H_MSG_TRUE). If necessary an exception is raised. Christopher M. Bishop: “Neural Networks for Pattern Recognition”; Oxford University Press, Oxford; 1995.