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圖像微觀結(jié)構(gòu)的二值化表示與目標(biāo)識(shí)別應(yīng)用

張東波 陳治強(qiáng) 易良玲 許海霞

張東波, 陳治強(qiáng), 易良玲, 許海霞. 圖像微觀結(jié)構(gòu)的二值化表示與目標(biāo)識(shí)別應(yīng)用[J]. 電子與信息學(xué)報(bào), 2018, 40(3): 633-640. doi: 10.11999/JEIT170513
引用本文: 張東波, 陳治強(qiáng), 易良玲, 許海霞. 圖像微觀結(jié)構(gòu)的二值化表示與目標(biāo)識(shí)別應(yīng)用[J]. 電子與信息學(xué)報(bào), 2018, 40(3): 633-640. doi: 10.11999/JEIT170513
ZHANG Dongbo, CHEN Zhiqiang, YI Liangling, XU Haixia. Binarization Representation of Image Microstructure and the Application of Object Recognition[J]. Journal of Electronics & Information Technology, 2018, 40(3): 633-640. doi: 10.11999/JEIT170513
Citation: ZHANG Dongbo, CHEN Zhiqiang, YI Liangling, XU Haixia. Binarization Representation of Image Microstructure and the Application of Object Recognition[J]. Journal of Electronics & Information Technology, 2018, 40(3): 633-640. doi: 10.11999/JEIT170513

圖像微觀結(jié)構(gòu)的二值化表示與目標(biāo)識(shí)別應(yīng)用

doi: 10.11999/JEIT170513
基金項(xiàng)目: 

國家自然科學(xué)基金(61602397),湖南省自然科學(xué)基金(2017JJ2251, 2017JJ3315),湖南省重點(diǎn)學(xué)科建設(shè)項(xiàng)目

Binarization Representation of Image Microstructure and the Application of Object Recognition

Funds: 

The National Natural Science Foundation of China (61602397), The Natural Science Foundation of Hunan Province (2017JJ2251, 2017JJ3315), The Key Discipline Construction Project of Hunan Province

  • 摘要: 該文提出一種新穎的基于二值圖像微觀結(jié)構(gòu)模式(Binary Image Micorsructure Pattern, BIMP)表達(dá)和灰度圖像微觀結(jié)構(gòu)二值模式(Gray Image Micorsruct Maximum Response Pattern, GIMMRP)編碼方法。通過對圖像33鄰域結(jié)構(gòu)進(jìn)行二值編碼,獲得圖像微觀結(jié)構(gòu)的描述,進(jìn)而選取其中的重要執(zhí)行模式子集和池化操作,實(shí)現(xiàn)整體圖像的表示。為了檢驗(yàn)算法的有效性,在ORL, YALE兩個(gè)人臉公開數(shù)據(jù)集,MNIST, USPS兩個(gè)手寫數(shù)字公開數(shù)據(jù)集,以及非公開車標(biāo)數(shù)據(jù)集上進(jìn)行了測試,顯示該方法具有很強(qiáng)的鑒別能力和魯棒性,可以達(dá)到和超過很多最新算法的性能。
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出版歷程
  • 收稿日期:  2017-05-27
  • 修回日期:  2017-10-19
  • 刊出日期:  2018-03-19

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