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文件名称:ImageSemanticSegmentation
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- 上传时间:2012-11-16
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随着数字图象技术、宽带网络技术和数字存储设备技术的发展,在网络上存储、传输大规模分布式数字图象库
成为可能,因此研究基于内容的图象检索技术成为近几年的热点。实现基于内容的图象检索系统的关键问题是实现图象
的语义分割。该文分六类对现有的图象语义分割技术进行了全面的总结,为进一步研究基于内容的图象检索技术奠定了
基础。-With the digital image technology, broadband networks and digital storage device technology, network storage, transmission of large-scale distributed digital image library has become possible, the study of content-based image retrieval technology to become hot in recent years . The realization of content-based image retrieval systems, the key question is to achieve semantic image segmentation. The six points of the existing semantic image segmentation technology to conduct a comprehensive summing up, for further study of content-based image retrieval technology laid the foundation.
成为可能,因此研究基于内容的图象检索技术成为近几年的热点。实现基于内容的图象检索系统的关键问题是实现图象
的语义分割。该文分六类对现有的图象语义分割技术进行了全面的总结,为进一步研究基于内容的图象检索技术奠定了
基础。-With the digital image technology, broadband networks and digital storage device technology, network storage, transmission of large-scale distributed digital image library has become possible, the study of content-based image retrieval technology to become hot in recent years . The realization of content-based image retrieval systems, the key question is to achieve semantic image segmentation. The six points of the existing semantic image segmentation technology to conduct a comprehensive summing up, for further study of content-based image retrieval technology laid the foundation.
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A survey of Technologies for Image Semantic Segmentation in CBIR System.pdf
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