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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。
  • XIONG Zonglong, YANG Kuntao, DING Wenxiu, et al. Computational and experimental research on infrared trace by human being contact[J]. Applied Optics, 2010, 49(18): 3587-3595. doi: 10.1364/AO.49.003587.
    韓玉閣, 成志鐸, 任登鳳, 等. 裝甲車輛與地面背景的熱交互作用及紅外仿真[J]. 紅外與激光工程, 2013, 42(1): 20-25.
    HAN Yuge, CHENG Zhiduo, REN Dengfeng, et al. Thermal interactions and infrared simulation of armored vehicles and ground background[J]. Infrared and Laser Engineering, 2013, 42(1): 20-25.
    FU Dongmei, YU Xiao, and TONG Hejun. Target extraction of blurred infrared image with an immune network template algorithm[J]. Optics Laser Technology, 2014, 56(1): 102-106. doi: 10.1016/j.optlastec.2013.07.019.
    付冬梅, 于曉, 童何俊. 基于免疫模板聚類的模糊中波紅外圖像目標(biāo)提取[J]. 光譜學(xué)與光譜分析, 2014, 34(3): 673-676. doi: 10.3964/j.issn.1000-0593(2014)03-0673-04.
    FU Dongmei, YU Xiao, and TONG Hejun. Extracting target blurred midwave infrared image based on immune template clustering[J]. Spectroscopy and Spectral Analysis, 2014, 34(3): 673-676. doi: 10.3964/j.issn.1000-0593(2014)03-0673-04.
    李輝. 紅外序列圖像中手部痕跡目標(biāo)提取的立體化模板研究[D]. [碩士論文], 北京科技大學(xué), 2015.
    LI Hui. Research on hand trace target extraction using 3D template from sequence infrared images[D]. [Master dissertation], University of Science and Technology Beijing, 2015.
    LI Hui, FU Dongmei, and YANG Tao. Hand target extraction from infrared images with descriptor based on pixel temporal characteristics[C]. 2015 8th International Congress on Image Signal Processing(CISP), Changchun, China, 2015: 458-463.
    FAWAZ A A and ALLAHVERDI A. An artificial immune system heuristic for two-stage multi-machine assembly scheduling problem to minimize total completion time[J]. Journal of Manufacturing Systems, 2013, 32(4): 825-830. doi: 10.1016/j.jmsy.2013.06.001.
    CHARLES A J, PAUL T, MARK W, et al. Janeway,s Immunobiology[M]. 5th Version, Beijing China: Science Press, 2007: 107-140.
    SHARMA P, ALLISON J P, et al. Immune checkpoint targeting in cancer therapy: Toward combination strategies with curative potential[J]. Cell, 2015, 161(2): 205-214. doi: 10.1016/j.cell.2015.03.030.
    MEHRAD E and KARIM F. Automatic traffic monitoring from satellite images using artificial immune system[J]. Lecture Notes in Computer Science, 2010: 170-179. doi: 10.1007/978-3-642-14980-1_16.
    AL-SHESHTAWI K A, ABDUL-KADER H M, and ISMAIL N A. Artificial immune clonal selection classification algorithms for classifying malware and benign processes using API call sequences[J]. International Journal of Computer Science and Network Security, 2010, 10(4): 31-39.
    KARAKOSE M. Reinforcement learning based artificial immune classifier[J]. Scientific World Journal, 2013, 2013: 581846. doi: 10.1155/2013/581846.
    ZHAO Mengling and LIU Hongwei. An associate rules mining algorithm based on artificial immune network for SAR image segmentation[J]. Mathematical Problems in Engineering, 2015: 1-14. doi: 10.1155/2015/839081.
    AHMADI S D and SAJEDI H. Image steganography with Artificial Immune System[C]. IEEE Artificial Intelligence and Robotics, Qazvin, Iran, 2017: 45-50. doi: 10.1109/RIOS.2017. 7956442.
    于曉. 紅外圖像中手部痕跡目標(biāo)的提取研究[D]. [博士論文], 北京科技大學(xué), 2014.
    YU Xiao. Research on hand trace target extraction from infrared image [D]. [Ph.D. dissertation], Beijing: University of Science and Technology Beijing, 2014.
    尚振宏, 劉明業(yè). 基于歐氏距離的拐點(diǎn)檢測算法[J]. 計(jì)算機(jī)應(yīng)用, 2004, 24(10): 88-91.
    SHANG Zhenhong and LIU Mingye. Corner detection algorithm based on Euclidean distance[J]. Computer Applications, 2004, 24(10): 88-91.
    劉淑萍, 劉羽, 於俊, 等. 結(jié)合手指檢測和HOG特征的分層靜態(tài)手勢識別[J]. 中國圖象圖形學(xué)報(bào), 2015, 20(6): 781-788. doi: 10.11834/jig.20150607.
    LIU Shuping, LIU Yu , YU Jun, et al. Hierarchical static hand gesture recognition by combining finger detection and HOG features[J]. Journal of Image and Graphics, 2015, 20(6): 781-788. doi: 10.11834/jig.20150607.
    楊燾, 付冬梅. 流形正則化多核模型的模糊紅外目標(biāo)提取[J]. 工程科學(xué)學(xué)報(bào), 2016, 38(6): 876-885. doi: 10.13374/j.issn 2095-9389.2016.06.019.
    YANG Tao and FU Dongmei. Extraction of blurred infrared targets based on a manifold regularized multiple-kernel model[J]. Chinese Journal of Engineering, 2016, 38(6): 876-885. doi: 10.13374/j.issn2095-9389.2016.06.019.
    CRDENES R, BACH M, CHI Y, et al. Multimodal evaluation for medical image segmentation[C]. International Conference on Computer Analysis of Images and Patterns, Vienna, Austria, 2007: 229-236. doi: 10.1007/978-3-540- 74272-2_29.
    BABALOLA K O, PATENAUDE B, and ALJABAR P. An evaluation of four automatic methods of segmenting the subcortical structures in the brain[J]. Neuroimage, 2009, 47(4): 1435-1447. doi: 10.1016/j.neuroimage.2009.05.029.
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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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