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基于視差信息的立體圖像主動(dòng)閉合輪廓提取算法研究

任慧 蘇志斌 高楠 呂朝輝

任慧, 蘇志斌, 高楠, 呂朝輝. 基于視差信息的立體圖像主動(dòng)閉合輪廓提取算法研究[J]. 電子與信息學(xué)報(bào), 2018, 40(2): 282-288. doi: 10.11999/JEIT170496
引用本文: 任慧, 蘇志斌, 高楠, 呂朝輝. 基于視差信息的立體圖像主動(dòng)閉合輪廓提取算法研究[J]. 電子與信息學(xué)報(bào), 2018, 40(2): 282-288. doi: 10.11999/JEIT170496
REN Hui, SU Zhibin, GAO Nan, Lü Chaohui. Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image[J]. Journal of Electronics & Information Technology, 2018, 40(2): 282-288. doi: 10.11999/JEIT170496
Citation: REN Hui, SU Zhibin, GAO Nan, Lü Chaohui. Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image[J]. Journal of Electronics & Information Technology, 2018, 40(2): 282-288. doi: 10.11999/JEIT170496

基于視差信息的立體圖像主動(dòng)閉合輪廓提取算法研究

doi: 10.11999/JEIT170496
基金項(xiàng)目: 

國(guó)家科技支撐計(jì)劃項(xiàng)目(2012BAH01F04),校級(jí)工科規(guī)劃項(xiàng)目(3132016XNG1622)

Extraction Algorithm for Active Contour Based on Disparity Information of Stereoscopic Image

Funds: 

The National Science and Technology Planning Project (2012BAH01F04), The Research Project of Communication University of China (3132016XNG1622)

  • 摘要: 針對(duì)立體圖像中目標(biāo)對(duì)象的閉合輪廓提取任務(wù),該文提出一種基于視差信息的輪廓提取算法。該算法在傳統(tǒng)貪婪蛇模型的基礎(chǔ)上,利用各控制點(diǎn)和中心的視差關(guān)系為模型設(shè)計(jì)收縮和膨脹力,能夠有效指導(dǎo)初始輪廓曲線向目標(biāo)邊緣的收斂。同時(shí)算法采用重復(fù)利用經(jīng)處理的控制點(diǎn)作為模型輸入的循環(huán)迭代方式,能夠獲得分布均勻且較為密集的邊緣曲線。實(shí)驗(yàn)結(jié)果表明,該輪廓提取算法減少了傳統(tǒng)的貪婪蛇模型算法對(duì)初始值的依賴,準(zhǔn)確度和可靠性均得到了很大的提升。
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出版歷程
  • 收稿日期:  2017-05-24
  • 修回日期:  2017-10-16
  • 刊出日期:  2018-02-19

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