hog特征提取matlab代码-BacteriaImageProcess:这是为了我们的项目:分割细菌图像并确定该图像中的细菌种类

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hog特征提取matlab代码BacteriaImageProcess 这是为了我们的项目:分割细菌图像并识别该图像中的细菌种类。 从本质上讲,这是对细菌数据的深度学习应用程序。 我们在matlab中实现了卷积RBM,以完成我们的任务。 cdbn-github是使用卷积RBM进行无监督特征学习的代码,我们使用GMM / BMM进行初始化,这可以缩短训练过程。 在特征提取之后,我们利用liblinear工具箱进行监督分类。 我们项目的第一部分在cdbn文件夹中,在其中展开了所有代码,包括我编写的CRBM代码。 编写GMM来初始化第一层,使用BMM来进行第二层的初始化。 (请注意,初始化非常重要,有关更多详细信息,请参阅Sohn等人的论文:“有效学习稀疏,分布式,卷积特征表示以进行对象识别。” Aslo,要训练卷积深度信念网络,您可以进行分层预训练,这意味着首先训练第一层,训练后冻结第一层的参数,然后训练第二层....) 在第二部分中,我们尝试识别此图像中的细菌种类,因此我们手动标记前景斑块,并将其标记为17类,因为一些毗邻的斑块涉及物种和背景,因此我们也将它们考虑在内,因此,共有18个课

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