Image classification using shape deviations of deep convolutional networks

• Main Authors: LEVY DAVID, UZIEL, RENATE, GARNETT NICK
• Format: Patent
• Language: Chinese; English
• Published: 20.09.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

A system for analyzing an image, comprising: a processing device comprising a receiving module configured to receive an image; and an analysis module configured to apply the received image to a machine learning network and to classify one or more features in the received image, the machine learning network configured to propagate image data through a plurality of convolutional layers, each of the plurality of convolutional layers comprising a plurality of filter channels, the machine learning network comprising a bottleneck layer, the bottleneck layer is configured to identify an image feature based on a shape of the image component. The system also includes an output module configured to output characterization data including the classification of the one or more features. 一种用于分析图像的系统，包括：处理设备，其包括配置为接收图像的接收模块；以及分析模块，其配置为将接收的图像应用于机器学习网络，并对接收的图像中的一个或多个特征进行分类，机器学习网络配置为通过多个卷积层传播图像数据，多个卷积层中的每个卷积层包括多个过滤器通道，机器学习网络包括瓶颈层，瓶颈层配置为基于图像分量的形状来识别图像特征。该系统还包括输出模块，其配置为输出包括一个或多个特征的分类的表征数据。