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Image processing systems, methods for performing multi-label semantic edge detection in images, and non-temporary computer-readable storage media

机译:图像处理系统,用于在图像中执行多标签语义边缘检测的方法,以及非临时计算机可读存储介质

摘要

A image processing system for multi-label semantic edge detection in an image includes an image interface to receive an image of a scene including at least one object, a memory to store a neural network trained for performing a multi-label edge classification of input images assigning each pixel of edges of objects in the input images into one or multiple semantic classes, a processor to transform the image into a multi-label edge-map using the neural network detecting an edge of the object in the image and assigning multiple semantic labels to at least some pixels forming the edge, and an output interface to render the multi-label edge-map.
机译:用于图像中的多标签语义边缘检测的图像处理系统包括图像接口,用于接收包括至少一个对象的场景的图像,用于存储用于执行输入图像的多标签边缘分类的神经网络训练的神经网络的存储器将输入图像中的对象的边缘的每个像素分配给一个或多个语义类,处理器将图像转换为多标签边缘映射到多标签边缘映射,检测图像中对象的边缘并分配多个语义标签对于形成边缘的至少一些像素,以及呈现多标签边缘映射的输出接口。

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