【摘要】 随着科技的蓬勃发展,人工智能逐渐应用于图像处理领域。传统图像处理与识别以人为提取特征为手段,但大量特征提取给图像识别造成了一定困扰,由此引进了深度学习图像识别技术。相比于传统方法,深度学习能够提供基于学习的特征表示,在自动特征提取和分割识别准确率方面具有良好表现。基于此,针对深度学习的图像识别技术进行综述,并总结了讨论内容。更多还原

【Abstract】 With the vigorous development of science and technology, artificial intelligence is gradually applied to image processing. Traditional image processing and recognition uses human-made feature extraction as a means, but a large number of feature extraction has caused some problems to image recognition, thus introducing depth learning image recognition technology. Compared with traditional methods, in-depth learning can provide learning-based feature representation, and has good performance in automatic feature extraction and segmentation recognition accuracy. Based on this, the image recognition technology of depth learning is summarized, and the discussion content is summarized.更多还原