光学学报, 2016, 36 (8): 0815001, 网络出版: 2016-08-18   

基于色彩分割的水下立体匹配算法的研究

Research on Underwater Stereo Matching Method Based on Color Segmentation
作者单位
1 东北大学信息科学与工程学院, 辽宁 沈阳 110819
2 燕山大学工业计算机控制工程河北省重点实验室, 河北 秦皇岛 066004
摘要
针对空气中极线几何不再适用于水下双目图像匹配以及尺度不变特征转换(SIFT)算法只能实现稀疏匹配的问题,提出了基于色彩分割的水下立体匹配算法。获取双目摄像机标定参数、参考图和待匹配图;推导参考图的特征点在待匹配图上对应的曲线表达式,同时利用均值漂移算法对参考图进行图像分割;用像素灰度差的绝对误差和算法进行匹配,根据图像分割结果对窗口内像素分配不同权重,并将搜索范围改为在对应曲线上,提高匹配精度。实验结果表明,该算法优于特征匹配SIFT算法,匹配精度有所提高,成功将区域匹配算法应用于水下图像稠密匹配。
Abstract
In term of underwater the epipolar constraint no longer meet binocular image matching, and the scale-invariant feature transform (SIFT) algorithm can only achieve sparse matching, the underwater stereo matching algorithm based on color segmentation is proposed. The calibration parameters of binocular camera are obtained as well as reference image and image to be matched. Corresponding curve expression of the feature points of reference image on image to be matched is derived and the reference image is segmented by mean shift algorithm. The sum of absolute differences algorithm is used to match two images after assigning different weights to the pixels within the window based on the results of image segmentation and searching for the corresponding point in the curve, which can improve the matching accuracy. Experimental results show that the proposed algorithm is superior to feature matching SIFT algorithm, and the matching accuracy is improved. The area matching algorithm is successfully applied to underwater image dense matching.
参考文献

[1] Sanchez-Ferreira C, Mori J Y, Llanos C H, Fortaleza, et al. Development of a stereo vision measurement architecture for an underwater robot[C]. IEEE 4th Latin American Symposium on Circuits and Systems, 2013: 1-4.

[2] Wu Y, Nian R, He B.3D reconstruction model of underwater environment in stereo vision system[C]. IEEE Oceans San Diego, 2013: 1-4.

[3] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

[4] 祝世平, 李政. 基于改进梯度和自适应窗口的立体匹配算法[J]. 光学学报, 2015, 35(1): 0110003.

    Zhu Shiping, Li Zheng. A stereo matching algorithm using improved gradient and adaptive window[J]. Acta Optica Sinica, 2015, 35(1): 0110003.

[5] 钦桂勤, 张永生, 黄桂平, 等. 水下摄影测量共线理论与相机标定方法[J]. 计量学报, 2014, 35(2): 133-138.

    Qin Guiqin, Zhang Yongsheng, Huang Guiping, et al. Underwater photography collinear measurement theory and camera calibration method[J]. Metering Sinica, 2014, 35(2): 133-138.

[6] 肖昀, 张运海, 檀慧明. 折射率不匹配引入的像差对共聚焦显微成像的影响[J]. 激光与光电子学进展, 2015, 52(2): 021801.

    Xiao Yun, Zhang Yunhai, Tan Huiming. Effect of aberration induced by refractive index mismatch on imaging in confocal microscopy[J]. Laser & Optoelectronics Progress, 2015, 52(2): 021801.

[7] 王宗义. 线结构光视觉传感器与水下三维探测[D]. 哈尔滨: 哈尔滨工程大学, 2005: 96-106.

    Wang Zongyi. Vision sensor with structured light and underwater 3D measurement[D]. Harbin: Harbin Engineering University, 2005: 96-106.

[8] 张文明, 邓茜雪, 张强, 等. 基于非平行系统的水下图像转化模型[J]. 光子学报, 2015. 44(2): 0211002.

    Zhang Wenming, Deng Xixue, Zhang Qiang, et al. Non-parallel system underwater image transformation model[J]. Acta Photonica Sinica, 2015, 44(2): 0211002.

[9] Gedge J, Gong M, Yang Y. Refractive epipolar geometry for underwater stereo matching[C]. 2011 Canadian Conference on Computer and Robot Vision, 2011: 146-152

[10] 张强, 郝凯, 李海滨. 水下环境中基于曲线约束的SIFT特征匹配算法研究[J]. 光学学报, 2014, 34(2): 0215003.

    Zhang Qiang, Hao Kai, Li Haibin. Research on scale invariant feature transform feature matching based on underwater curve constraint[J]. Acta Optica Sinica, 2014, 34(2): 0215003.

[11] 张强, 刘婷婷, 李海滨, 等. 基于最佳搜索域的水下图像区域匹配算法研究[J]. 光学学报, 2014, 34(6): 0615001.

    Zhang Qiang, Liu Tingting, Li Haibin, et al. Research on region matching for underwater images based on optimum searching area[J]. Acta Optica Sinica, 2014, 34(6): 0615001.

[12] 龚文彪, 顾国华, 钱惟贤, 等. 基于图像分割和自适应支撑权重的立体匹配算法[J]. 光学学报, 2015, 35(s2): s210002.

    Gong Wenbiao, Gu Guohua, Qian Weixian, et al. Stereomatching algorithm based on image segmentation and adaptive support weight[J]. Acta Optica Sinica, 2015, 35(s2): s210002.

[13] 倪炜基, 徐贵力, 田裕鹏, 等. 基于色彩分割和自适应窗口的快速立体匹配[J]. 仪器仪表学报, 2011, 32(1): 194-200.

    Ni Weiji, Xu Guili, Tian Yupeng, et al. Rapid stereo matching based on color segmentation and adaptive window[J]. Journal of Scientific Instrument, 2011, 32(1): 194-200.

[14] Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms[J]. International Journal of Computer Vision, 2002, 47(1-3): 7-42.

[15] Iqbal K, Odetayo M, James A, et al. Enhancing the low quality images using unsupervised colour correction method[C]. 2010 IEEE International Conference on Systems Man and Cybernetics, 2010: 1703-1709.

[16] Gerrits M, Bekaert P. Local stereo matching with segmentation-based outlier rejection[C]. The 3rd Canadian Conference on Computer and Robot Vision, 2006: 66-66.

[17] Comaniciu D, Meer P. Mean shift: A robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619.

[18] 梁芳. 基于图像分割的立体匹配算法研究[D]. 北京: 北京邮电大学, 2014.

    Liang Fang. Research on stereo matching algorithm basedon image segmentation[D]. Beijing: Beijing University of Posts and Telecommunications, 2014.

[19] 高博. 基于彩色图像分割的立体匹配算法研究[D]. 西安: 中国科学院西安光学精密机械研究所, 2013.

    Gao Bo. Research on stereo matching algorithm based on color image segmentation[D]. Xi′an: Xi′an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, 2013.

[20] Brown M Z, Burschka D, Hager G D. Advances in computational stereo[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(8): 993-1008.

[21] 张文明, 王鑫, 张强, 等. 基于粒子群标定的多介质折射成像定位算法[J]. 光学学报, 2013. 33(5): 0515001.

    Zhang Wenming, Wang Xin, Zhang Qiang, et al. Positioning algorithm in multi-media refractive imaging system based on particle swarm optimization calibration[J]. Acta Optica Sinica, 2013, 33(5): 0515001.

[22] 李光乐, 黄文有, 刘青松, 等. 面向水下双目视觉的改进张氏标定方法及实验[J]. 光学学报, 2014, 34(12): 1215006.

    Li Guangle, Huang Wenyou, Liu Qingsong, et al. Improved Zhang′s calibration method and experiments for underwater binocular stereo-vision[J]. Acta Optica Sinica, 2014, 34(12): 1215006.

张强, 卢士强, 李海滨, 李雅倩, 张文明. 基于色彩分割的水下立体匹配算法的研究[J]. 光学学报, 2016, 36(8): 0815001. Zhang Qiang, Lu Shiqiang, Li Haibin, Li Yaqian, Zhang Wenming. Research on Underwater Stereo Matching Method Based on Color Segmentation[J]. Acta Optica Sinica, 2016, 36(8): 0815001.

本文已被 4 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!