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Method and system for performing segmentation of image having a sparsely distributed object

机译:用于对具有稀疏分布对象的图像进行分割的方法和系统

摘要

Methods and systems for segmenting images having sparsely distributed objects are disclosed. A method may include: predicting object potential areas in the image using a preliminary fully convolutional neural network; segmenting a plurality of sub-images corresponding to the object potential areas in the image using a refinement fully convolutional neural network, wherein the refinement fully convolutional neural network is trained to segment images on a higher resolution compared to a lower resolution utilized by the preliminary fully convolutional neural network; and combining the segmented sub-images to generate a final segmented image.
机译:公开了用于分割具有稀疏分布的对象的图像的方法和系统。一种方法可以包括:使用初步的全卷积神经网络预测图像中的物体潜在区域;使用精化全卷积神经网络对与图像中的对象潜在区域相对应的多个子图像进行分割,其中,精化全卷积神经网络经过训练,可以以较高的分辨率对图像进行分割,相比之下,预备全卷积使用的较低分辨率卷积神经网络合并分割后的子图像以生成最终的分割后的图像。

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