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发明授权
CN105849274B 用于显微图像中的单独细胞的分类和识别的方法和系统 有权

用于显微图像中的单独细胞的分类和识别的方法和系统
摘要：
在一种用于识别图像中的对象的方法和系统中，接收图像和训练数据。所述训练数据识别与所述图像中的特定类型的对象关联的像素。开发所述图像的多个过滤版本。对所述训练数据和所述图像的所述多个过滤版本进行处理以开发用于对与所述特定类型的对象关联的像素进行分类的训练模型。将所述训练模型应用于所述图像，以识别与所述图像中的所述多个特定类型的对象关联的像素。开发额外的图像处理步骤，以进一步细化所识别的像素，用于使对象的轮廓与其边缘更好地匹配。
摘要（英）：

In a method and system for identifying objects in an image, an image and training data are received. The training data identifies a pixel associated with an object of a particular type in the image. A plurality of filtered versions of the image are developed. The training data and the plurality of filtered versions of the image are processed to develop a trained model for classifying pixels associated with objects of the particular type. The trained model is applied to the image to identify pixels associated a plurality of objects of the particular type in the image. Additional image processing steps are developed to further refine the identified pixels for better fitting of the contour of the objects with their edges.

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