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超像素及其应用综述 被引量：8

Review about Superpixels and Its Applications
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摘要 超像素常常用于图像处理的预处理,它是利用像素间的特征相似度来进行分割的,在后续的图像处理过程中利用超像素获取的冗余信息将很大程度的降低算法的复杂性。文章阐述了超像素的发展及应用,介绍了几种获取超像素的算法,使读者能够直观的了解和应用超像素。 Superpixel is often used as preprocessing of image processing, which is a result of image segmentation based on the similarity of characteristics between pixels. The redundancy information acquired by superpixel can largely reduce the complexity of subsequent image processing. This paper describes the development and applications of superpixel, introduces several algorithms to obtain superpixels and helps readers understand superpixels and its application intuitively.
作者 饶倩 文红 喻文 毛祺琦 苏伟伟
机构地区 电子科技大学通信抗干扰技术国家级重点实验室
出处 《电脑与信息技术》 2013年第5期1-3,14,共4页 Computer and Information Technology
基金 自然科学基金项目(编号:61032003 61071100和61271172) 高等学校博士学科点专项科研基金(编号:20120185110030) 国家教育部回国人员科研启动基金联合资助
关键词 超像素 图像分割 图像处理 superpixel image segmentation image processing
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献14

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二级参考文献36

  • 1ACHANTA R, SHAJI A. SLIC superpixels compared to state-of-the-art superpixel methods [ J ]. IEEE Transactions on PAMI, 2012,34( 11 ) :2274 - 2282.
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共引文献21

同被引文献86

  • 1苏金玲,王朝晖.基于Graph Cut和超像素的自然场景显著对象分割方法[J].苏州大学学报（自然科学版）,2012,28(2):27-33. 被引量：7
  • 2Xiang Deliang, Tang Tao, Zhao Lingjun, et al. Superpixel Generating Algorithm Based on Pixel Intensity and Location Similarity for SAR Image Classification [ J ]. Geoscience and Remote Sensing Litters ,2013,10( 6 ) : 1414-1418.
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  • 4Vedaldi A, Soatto S. Quick Shift and Kernel Methods for Mode Seeking[ C ]//Proceedings of ECCV' 08. Berlin, Germany : Springer-Verlag, 2008 : 705-718.
  • 5Achanta R, Shaji A, Smith K, et al. SLIC Superpixels Compared to State-of-the-art Superpixel Methods [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence ,2012,34( 11 ) :2274-2281.
  • 6Shi Jianbo, Malik J. Normalized Cuts and Image Segmentation [J] IEEE Transactions on Pattern Analysis and Machine Intelligence ,2000,22( 8 ) :888-905.
  • 7Felzenszwalb P F, Huttenlocher D P. Efficient Graph- based Image Segmentation [ J ]. International Journal of Computer Vision, 2004,59 ( 2 ) : 167-181.
  • 8Li X, Sahbi H. Superpixel-based Object Class Segmenta- tion Using Conditional Random Fields [ C]//Pro- ceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. Washington D. C. , USA: IEEE Press,2011:1101-1104.
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引证文献8

二级引证文献130

电脑与信息技术
2013年 第5期

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