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導(dǎo)數(shù)法峰值銳化算法提高磁感應(yīng)成像圖像分辨率

羅海軍 廖勇 潘海濤 溫開旭

羅海軍, 廖勇, 潘海濤, 溫開旭. 導(dǎo)數(shù)法峰值銳化算法提高磁感應(yīng)成像圖像分辨率[J]. 電子與信息學(xué)報(bào), 2018, 40(8): 1847-1852. doi: 10.11999/JEIT171102
引用本文: 羅海軍, 廖勇, 潘海濤, 溫開旭. 導(dǎo)數(shù)法峰值銳化算法提高磁感應(yīng)成像圖像分辨率[J]. 電子與信息學(xué)報(bào), 2018, 40(8): 1847-1852. doi: 10.11999/JEIT171102
LUO Haijun, LIAO Yong, PAN Haitao, WEN Kaixu. Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1847-1852. doi: 10.11999/JEIT171102
Citation: LUO Haijun, LIAO Yong, PAN Haitao, WEN Kaixu. Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1847-1852. doi: 10.11999/JEIT171102

導(dǎo)數(shù)法峰值銳化算法提高磁感應(yīng)成像圖像分辨率

doi: 10.11999/JEIT171102
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(51507023),重慶市科委基礎(chǔ)和前沿研究項(xiàng)目(CSTC2016JCYJA0920),重慶市教委科學(xué)技術(shù)研究項(xiàng)目( KJ1703063)

Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography

Funds: 

The National Natural Science Foundation of China (51507023), The Chongqing Research Program of Basic Research and Frontier Technology (CSTC2016JCYJA0920), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1703063)

  • 摘要: 磁感應(yīng)成像(MIT)是一種利用電磁感應(yīng)原理重構(gòu)生物組織電導(dǎo)率分布的非接觸式電阻抗成像技術(shù)。該文利用亥姆霍茲線圈和20個(gè)檢測(cè)線圈搭建了旋轉(zhuǎn)式磁感應(yīng)成像系統(tǒng),利用濾波反投影算法重構(gòu)圖像。分別利用2階和4階導(dǎo)數(shù)法峰值銳化算法處理單目標(biāo)和雙目標(biāo)檢測(cè)線圈的測(cè)量數(shù)據(jù),通過3個(gè)客觀參數(shù)對(duì)比處理前后的重構(gòu)圖像結(jié)果。結(jié)果證明磁感應(yīng)成像中導(dǎo)數(shù)法峰值銳化能夠有效地增加圖像質(zhì)量。
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出版歷程
  • 收稿日期:  2017-11-24
  • 修回日期:  2018-04-16
  • 刊出日期:  2018-08-19

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