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。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.
-
Key words:
- Closed contour extraction /
- Disparity information /
- Greedy snake /
- Original contour
-
謝昭, 童昊浩, 孫永宣, 等. 一種仿生物視覺感知的視頻輪廓檢測(cè)方法[J]. 自動(dòng)化學(xué)報(bào), 2015, 41(10): 1814-1824. doi: 10.10383./j.aas.2015.c150018. XIE Zhao, TONG Haohao, SUN Yongxuan, et al. Video contour detection method based on bionic visual perception[J]. Journal of Automation, 2015, 41(10): 1814-1824. doi: 10.10383/j.aas.2015.c150018. 尹輝, 王鵬飛, 黃華, 等. 基于全局運(yùn)動(dòng)對(duì)比度的輪廓編組元提取算法[J]. 計(jì)算機(jī)工程與應(yīng)用, 2016, 52(9): 184-189. YIN Hui, WANG Pengfei, HANG Hua, et al. Extraction algorithm of contour marshalling unit based on global motion contrast[J]. Computer Engineering and Applications, 2016, 52(9): 184-189. KASS Michael, WITKIN Andrew, and TERZOPOULOS Demetri. Snakes: Active contour model[J]. International Journal of Computer Vision, 1988, 1(4): 321-331. IlUNGA-MBUYAMBA E, CRUZ-DUARTE J M, AVINA- CERVANTES J G, et al. Active contours driven by Cuckoo Search strategy for brain tumour images segmentation[J]. Expert Systems with Applications, 2016, 56: 59-68. doi: 10.1016/j.eswa.2016.02.048. 董恩增, 馮倩, 于曉, 等. 基于主動(dòng)輪廓模型的紅外圖像輪廓提取算法[J]. 激光與紅外, 2017, 47(3): 379-384. doi: 10.3969/ j.issn.1001-5078.2017.03.024. DONG Enzeng, FENG Qian, YU Xiao, et al. Infrared image contour extraction algorithm based on active contour model [J]. Laser and Infrared, 2017, 47(3): 379-384. doi: 10.3969/ j.issn.1001-5078.2017.03.024. LI Yan, LUO Siwei, and ZOU Qi. Active contour model based on salient boundary point image for object contour detection in natural image[J]. IEICE Transactions on Information and System, 2010, E93, D(11): 3136-3139. doi: 10.1587/transinf. E93.D.3136. CIECHOLEWSKI Marcin. An edge-based active contour model using an inflation/deflation force with a damping coefficient[J]. Expert Systems with Applications, 2015, 44(C): 22-36. doi: 10.1016/j.eswa.2015.09.013 涂松, 李禹, 粟毅. 基于主動(dòng)輪廓模型的SAR圖像分割方法綜述[J]. 系統(tǒng)工程與電子技術(shù), 2015, 37(8): 1754-1766. TU Song, LI Yu, and LI Yi. Overview of SAR image segmentation based on active contour model[J]. Systems Engineering and Electronics, 2015, 37(8): 1754-1766. KHUNTETA A and GHOSH D. Object boundary detection using active contour model via multiswarm PSO with fuzzy- rule based adaptation of inertia factor[J]. Advances in Fuzzy Systems, 2016: 6179576. doi: 10.1155/2016/6179576. 婁聯(lián)堂, 丁明躍, 周成平. 基于量子力學(xué)目標(biāo)輪廓提取方法[J].計(jì)算機(jī)工程與應(yīng)用, 2005, 41(31): 94-97. LOU Liantang, DING Mingyue, and ZHOU Chengping. Target contour extraction method based on quantum mechanics[J]. Computer Engineering and Applications, 2005, 41(31): 94-97. SANG H K, KIM J Y, and SO G J. Object extraction with excessive disparities in 3D stereoscopic images[J]. International Journal of Computer Theory and Engineering, 2014, 6(4): 313-318. JU Ran, REN Tongwei, and WU Gangshan. StereoSnakes: Contour based consistent object extraction for stereo images[C]. Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile, 2015: 1724-1732. doi: 10.1109/ICCV.2015.201. WILLIAMS D J and SHAH M. A fast algorithm for active contours and curvature estimation[J]. CVGIP: Image Understanding, 1992, 55(1): 14-26. doi: 10.1016/1049-9660 (92)90003-L. CASELLES V, CATTE F, COLL T, et al. A geometric model for active contours in image processing[J]. Numerische Mathematik, 1993, 66(1): 1-31. doi: 10.1007/BF01385685. 張榮國(guó), 劉焜, 蔡江輝, 等. 變形曲線曲面主動(dòng)輪廓模型方法[M]. 北京: 國(guó)防工業(yè)出版社, 2012: 52-56. 張輝, 吳月寧. 一種改進(jìn)的Snake模型圖像分割算法[J]. 微型機(jī)與應(yīng)用, 2010, 29(11): 36-37. ZHANG Hui and WU Yuening. An improved image segmentation algorithm based on Snake model[J]. Microcomputer and Application, 2010, 29(11): 36-37. DEEPAK R, NAYAK A V, and MANIKANTAN K. Ear detection using active contour model[C]. International Conference on Emerging Trends in Engineering, Pattaya, Thailand, 2016: 1-7. doi: 10.1109/ICETETS.2016.7603043. REN Hui, SU Zhibin, L? Chaohui, et al. An improved algorithm for active contour extraction based on greedy snake[C]. IEEE/ACIS International Conference on Computer Information Science, Las Vegas, USA, 2015: 589-592. doi: 10.1109/ICIS.2015.7166662. -
計(jì)量
- 文章訪問(wèn)數(shù): 1464
- HTML全文瀏覽量: 184
- PDF下載量: 170
- 被引次數(shù): 0