Flow diagram depicting the training and testing phases of the computer algorithm.
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A human expert establishes the “ground truth.” The computer then creates a prediction rule by modeling image characteristics and analyzing pixel neighborhoods. In the testing phase, the computer applies the prediction rule to a new set of images. The computer results are finally validated by the human expert. White and gray boxes refer to the human expert and computer actions, respectively.
人类专家确立真值(ground truth)。随后,计算机通过对图像特征进行建模并分析像素邻域,生成预测规则。在测试阶段,计算机将该预测规则应用于全新的图像集合。最终由人类专家对计算机生成的结果进行校验。白色方框与灰色方框分别对应人类专家与计算机的操作流程。
创建时间:
2016-02-23



