吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (6): 2103-2110.doi: 10.13229/j.cnki.jdxbgxb201606046

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Image edge points detection algorithm for object localization

YAN Fei1, ZHOU Chang-jiu1, 2, TIAN Yan-tao1, 3   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.Advanced Robotics and Intelligent Control Centre, Singapore Polytechnic, Singapore 139651, Singapore;
    3.Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China
  • Received:2016-03-08 Online:2016-11-20 Published:2016-11-20

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Abstract: A specific edge point detection algorithm for object localization is proposed. The algorithm can detect the edge information of interest and mark the edge points. The algorithm can get the location information of the target by analyzing the distribution of the edge points, and detect the specific gray scale pixel sequence and edge points of interest. For verification, the proposed algorithm is applied to detect the welding line and the unconstrained iris contour edge. Experimental results demonstrate that the proposed algorithm can accurately detect the edge points of the welding line. The algorithm is also applicable to locate the unconstrained iris contour. It obtains the edge points of the iris region first; then Hough Circle Transform is applied to vote a circle as the iris contour. The algorithm can locate the iris contours accurately for all kind of iris images in UBIRIS.v2 Database.

Key words: information processing, edge detection, sequence detection, unconstrained iris

CLC Number: 

  • TN919
[1] 王植, 贺赛先. 一种基于Canny理论的自适应边缘检测方法[J]. 中国图象图形学报, 2004, 9(8): 957-962.
Wang Zhi, He Sai-xian. An adaptive edge-detection method based on Canny algorithm[J]. Journal of Image and Graphics, 2004, 9(8): 957-962.
[2] Nakhmani A, Tannenbaum A. Self-crossing detection and location for parametric active contours[J]. IEEE Transactions on Image Processing, 2012, 21(7): 3150-3156.
[3] Nixon M S, Aguado A S. Feature Extraction & Image Processing for Computer Vision[M]. 3rd ed. London: Academic Press, 2012: 222-234.
[4] Halder A, Mandal R, Konar A. A hierarchical algorithm for fuzzy template matching in emotional facial images[J]. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2013, 24(2): 201-214.
[5] 柯洪昌, 孙宏彬,. 图像序列的显著性目标区域检测方法[J]. 中国光学, 2015,8(5): 768-774.
Ke Hong-chang, Sun Hong-bin. A saliency target area detection method of image sequence[J]. Chinese Optics, 2015,8(5): 768-774.
[6] 王灿进, 孙涛, 李正炜. 基于快速轮廓转动力矩特征的激光主动成像目标识别[J]. 中国光学, 2015,8(5): 775-784.
Wang Can-jin, Sun Tao, Li Zheng-wei. Target recognition in laser active imaging based on fast contour torque features[J]. Chinese Optics, 2015,8(5): 775-784.
[7] 邓丹, 吴谨, 朱磊, 等. 基于纹理抑制和连续分布估计的显著性目标检测方法[J]. 液晶与显示, 2015,30(1): 120-125.
Deng Dan, Wu Jin, Zhu Lei,et al.Significant target detection method based on texture inhibition and continuous distribution estimation[J]. Chinese Journal of Liquid Crystal and Displays, 2015,30(1): 120-125.
[8] 孙寿健, 魏立线, 刘佳, 等. 一种基于权重融合的JPEG隐写分析方法[J]. 液晶与显示, 2015, 30(2): 326-332.
Sun Shou-jian, Wei Li-xian, Liu Jia, et al. A rights-based re-integration method for JPEG steganalysis[J]. Chinese Journal of Liquid Crystal and Displays, 2015, 30(2): 326-332.
[9] Gonzalez R C, Woods R E, Eddins S L. Digital Image Processing Using MATLAB[M]. 2nd ed. Knoxville, TN: Gatesmark Publishing, 2009:578-582.
[10] Fan W, Wang K, Cayre F, et al. Median filtered image quality enhancement and anti-forensics via variational deconvolution[J]. IEEE Transactions on Information Forensics and Security, 2015, 10(5):1076-1091.
[11] Shin K Y, Nam G P, Jeong D S, et al. New iris recognition method for noisy iris images[J]. Pattern Recognition Letters,2012,33(8): 991-999.
[12] 李欢利,郭立红,王心醉,等. 基于加权Gabor滤波器的虹膜识别[J]. 吉林大学学报:工学版, 2014 (1): 196-202.
Li Huan-li, Guo Li-hong, Wang Xin-zui, et al. Iris recognition based on weighted Gabor filter[J]. Journal of Jilin University (Engineering and Technology Edition), 2014 (1): 196-202.
[13] He Z, Tan T, Sun Z, et al. Toward accurate and fast iris segmentation for iris biometrics[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(9): 1670-1684.
[14] Hofbauer H, Alonso-Fernandez F, Wild P, et al. A ground truth for iris segmentation[C]∥22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014: 527-532.
[15] 刘雅丽, 王敏, 黄木旺. 高精度虹膜识别光学镜头的研制[J]. 应用光学, 2012, 33(3): 575-579.
Liu Ya-li, Wang Min, Huang Mu-wang. Iris identification optical lens with high precision[J]. Journal of Applied Optics, 2012, 33(3): 575-579.
[16] Proenca H, Filipe S, Santos R, et al. The ubiris. v2: a database of visible wavelength iris images captured on-the-move and at-a-distance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(8): 1529-1535.
[17] Burger W, Burge M J. Digital Image Processing: An Algorithmic Introduction Using Java[M]. New York: Springer Science & Business Media, 2008: 167-170.
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