光学技术, 2018, 44 (3): 273, 网络出版: 2018-06-09  

基于灰度共生矩阵的自动聚焦算法

Auto-focusing algorithm based on gray level co-occurrence matrix
作者单位
山东大学 信息科学与工程学院, 山东 济南 250100
引用该论文

焦萍, 姜威, 贲晛烨, 刘湜, 张健钊. 基于灰度共生矩阵的自动聚焦算法[J]. 光学技术, 2018, 44(3): 273.

JIAO Ping, JIANG Wei, BEN Xianye, LIU Shi, Zhang Jianzhao. Auto-focusing algorithm based on gray level co-occurrence matrix[J]. Optical Technique, 2018, 44(3): 273.

参考文献

[1] 莫春红, 刘波, 丁璐, 等. 一种梯度阈值自动调焦算法[J]. 红外与激光工程,2014,43(1):323-327.

    Mo Chunhong, Liu Bo, Ding Lu, et al. A gradient threshold auto-focus algorithm[J]. Infrared and Engineering,2014,43(1):323-327.

[2] Li Hui, Fu Chengyu. An improved focusing algorithm based on image definition evaluation[C]∥Proceedings of Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). 2011 2nd International Conference on. Deng Leng, China:IEEE,2011:3743-3746.

[3] 董代, 刘荣, 孙明磊, 等. 基于互相关的自动聚焦方法[J]. 北京航空航天大学学报,2006,32(03):306-310.

    Dong Dai, Liu Rong, Sun Minglei, et al. Auto- focusing algorithm based on cross correlation method[J]. Journal of Beijing University of Aeronautics and Astronautics,2006,32(03):306-310.

[4] Jiang Jintao, Zhu Feilong. A method of the adaptively selected auto-focusing evaluation function according to the image noise strength[C]∥Proceedings of Multimedia Technology (ICMT). 2010 International Conference on. Ningbo,China:IEEE,2010:1-3.

[5] 郑媛媛, 姜威. 一种新的自动聚焦算法的研究[J]. 光学技术,2011,37(4):471-474.

    Zheng Yuanyuan, Jiang Wei. Research on a new auto-focusing Algorithm [J]. Optical Technique,2011,37(4):471-474.

[6] S.Yousefi, M. Rahman, N.Kehtarnavaz. A newauto-focus sharpness function for digital and smart-phone camera[J]. Proceedings of IEEE Transactions on Consumer Electronics,2015,57(3):149-150.

[7] 翟永平, 周东翔, 刘云辉, 等. 聚焦函数性能评价指标设计及最优函数选取[J]. 光学学报,2011,31(4):234-244.

    Zhai Yongping, Zhou Dongxiang, Liu Yunhui, et al. Design of evaluation index for auto-focusing function and optimal function selection [J]. Acta Optica Sinica,2011,31(4):234-244.

[8] Peng Yang, Guowei Yang. Feature extraction using dual-tree complex wavelet transform and gray level co-occurrence matrix[J]. Neurocomputing,2016,197(C):212-220.

[9] Vishal S. Thakare, Nitin N. Patil. Classification of texture using gray level co-occurrence matrix and self-organizing map[C]∥Proceedings of Electronic Systems, Signal Processing and Computing Technologies (ICESC). 2014 International Conference on. Nagpur,India:IEEE,2014:350-355.

[10] Cg Eichkitz, J Amtmann, Mg Schreilechner. Calculation of grey level co-occurrence matrix-based seismic attributes in three dimensions[J]. Computers & Geosciences,2013,60(5):176-183.

[11] 刘丽, 匡纲要. 图像纹理特征提取方法综述[J]. 中国图象图形学报,2009,14(4):622-635.

    Liu Li, Kuang Gangyao. Overview of image textural feature extraction method[J]. Journal of Image and Graphics,2009,14(4):622-635.

[12] 杨博雄, 胡新和, 傅辉清, 等. CCD工作信号的噪声分析与处理[J]. 光学与光电技术,2004,2(4):51-53.

    Yang Bowei, Hu Xinhe, Fu Huiqing, et al. Noise analysis and processing of ccd working signal[J]. Optics & Optoelectronic Technology,2004,2(4):51-53.

焦萍, 姜威, 贲晛烨, 刘湜, 张健钊. 基于灰度共生矩阵的自动聚焦算法[J]. 光学技术, 2018, 44(3): 273. JIAO Ping, JIANG Wei, BEN Xianye, LIU Shi, Zhang Jianzhao. Auto-focusing algorithm based on gray level co-occurrence matrix[J]. Optical Technique, 2018, 44(3): 273.

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