This paper researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
研究了支持向量机参数(核函数、惩罚因子c)和影像特征维数对航空影像分割与分类的影响。
We separate the whole image analysis work to several steps: the extraction of pulmonary parenchyma, the segmentation of region of interests (ROI), the feature extraction and classification.
我们将肺结节的自动检测分为肺实质的提取、感兴趣区域(R OI)的分割和ROI特征参数提取及分类判别几个步骤。
The effect of C is large for aerial image segmentation and classification.
航空影像纹理分类和分割对常数C敏感；
应用推荐