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

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)

計(jì)量
- 文章訪問(wèn)數(shù): 1464
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- PDF下載量: 170
- 被引次數(shù): 0
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

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

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。
- 閉合輪廓提取 /
- 視差信息 /
- 貪婪蛇 /
- 初始輪廓
Abstract: To get the closed boundary of target object of given stereoscopic image, this paper proposes an improved algorithm with disparity-guided constraint for active contour extraction based on greedy snake model. The disparity relationship between the control points and the center of the object is used to design a new external force, which guides the original contour to real boundary. In addition, this method also uses the improved model iteratively with processed control points as the original input. Experiment results prove this method reduces the reliance on initial values of input contour, obtains accurate contour made up of uniform and dense points, which is more effective than the traditional greedy snake algorithm.
- Closed contour extraction /
- Disparity information /
- Greedy snake /
- Original contour

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