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基于人工靶向免疫療法的紅外手部痕跡目標(biāo)提取

付冬梅,  孫靜,  楊燾

付冬梅, 孫靜, 楊燾. 基于人工靶向免疫療法的紅外手部痕跡目標(biāo)提取[J]. 電子與信息學(xué)報(bào), 2018, 40(2): 346-352. doi: 10.11999/JEIT170282
引用本文: 付冬梅, 孫靜, 楊燾. 基于人工靶向免疫療法的紅外手部痕跡目標(biāo)提取[J]. 電子與信息學(xué)報(bào), 2018, 40(2): 346-352. doi: 10.11999/JEIT170282
FU Dongmei, SUN Jing, YANG Tao. Target Extraction of Hand Infrared Trace Images Based on Artificial Targeting Immunotherapy[J]. Journal of Electronics & Information Technology, 2018, 40(2): 346-352. doi: 10.11999/JEIT170282
Citation: FU Dongmei, SUN Jing, YANG Tao. Target Extraction of Hand Infrared Trace Images Based on Artificial Targeting Immunotherapy[J]. Journal of Electronics & Information Technology, 2018, 40(2): 346-352. doi: 10.11999/JEIT170282

基于人工靶向免疫療法的紅外手部痕跡目標(biāo)提取

doi: 10.11999/JEIT170282
基金項(xiàng)目: 

國家自然科學(xué)基金(61272358)，北京市重點(diǎn)學(xué)科共建項(xiàng)目(XK100080537)

Target Extraction of Hand Infrared Trace Images Based on Artificial Targeting Immunotherapy

Funds: 

The National Natural Science Foundation of China (61272358), Beijing Key Discipline Development Program (XK100080537)

  • 摘要: 紅外手部熱痕跡圖像是特殊的模糊圖像，該文提出一種人工靶向免疫療法對其進(jìn)行手部目標(biāo)提取。首先依據(jù)序列圖像中像素灰度的變化趨勢設(shè)計(jì)了先天性免疫識別進(jìn)行初分割；然后借鑒免疫的提呈機(jī)制，根據(jù)熱擴(kuò)散特性定義同心圓模板提取特征；基于模板特征對模糊像素集適應(yīng)性免疫識別；最后，指尖指谷病變檢測分析，實(shí)施靶向治療，保證了手的形態(tài)特征。與分水嶺、SOM網(wǎng)絡(luò)以及近幾年研究成果進(jìn)行了比較，表明提出的算法在目標(biāo)提取率、絕對誤差率均優(yōu)于現(xiàn)有算法，提取結(jié)果更符合手的形態(tài)，同時(shí)擴(kuò)展了應(yīng)用熱痕跡信息的時(shí)間跨度。
    Abstract: Hand infrared trace images can not clearly reflect the original contact contour of hand, which belong to a special kind of infrared blurred images. Inspired by biological immune, an artificial targeting immunotherapy is proposed to extract the hand target. Firstly, according to the feature of temporal correlation, the innate immune recognition is designed to preliminary segmentation. Secondly, according to the immune presentation, a concentric circles template based on thermal diffusion is defined to extract features. Then adaptive immune recognition is applied to the fuzzy pixels set based on the obtained template features. Finally, for the detected finger valley and fingertips lesions, targeted therapy is implemented to keep the shape of the hand. The proposed algorithm is compared with watershed method, SOM network and recent research achievements. Experimental results show that the proposed algorithm exhibits better extraction performance, meanwhile the application time of thermal trace images is extended.
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出版歷程
  • 收稿日期:  2017-04-01
  • 修回日期:  2017-09-18
  • 刊出日期:  2018-02-19

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