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  • 标题:Vector Quantization Method Based on Satellite Cloud Image
  • 本地全文:下载
  • 作者:Xumin Liu ; Zilong Duan ; Xue Yang
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:11
  • 页码:27-44
  • DOI:10.14257/ijsip.2015.8.11.04
  • 出版社:SERSC
  • 摘要:Automatic vectorization in the field of image processing and recognition is one of development direction. This paper does some relevant researches on satellite cloud image preprocessing, image segmentation, image vector quantization. To improve the effect of noise reduction and preserving image details, this paper puts forward an improved adaptive median filter algorithm; For increasing the speed of image segmentation, this paper puts forward automatic layering algorithm combined with color information. Finally, this paper puts forward automatic vector quantization algorithm based on satellite cloud images and we developed an automatic vector quantization prototype system of satellite cloud images. The research results suggest that our automatic vector quantization algorithm has satellite cloud information automatic extraction function, identification function and vector quantization function
  • 关键词:Satellite cloud image; Vectorization; Image segmentation; Edge detection; ; Feature point set
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