Computer Science ›› 2008, Vol. 35 ›› Issue (5): 253-256.

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SONG Kai ZHANG Feng-qiao QI Yan ZHANG Huan-jun ( Info. Science and Engineering College, Shenyang Ligong University, Shenyang 110168, China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: In order to improve the recognition rate of image characteristic, an image characteristic recognition system based on Q-shift dual tree complex wavelet transformation algorithm is studied and designed. The advantages of complex wavelet are reserved in thi

Key words: Q-shift dual tree complex wavelet transformation (DT CWT), Image characteristic, Downy mildew of cu-cumber

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