• Laser & Optoelectronics Progress
  • Vol. 53, Issue 11, 111006 (2016)
Wang Sukai*, Pan Jinxiao, and Chen Ping
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop53.111006 Cite this Article Set citation alerts
    Wang Sukai, Pan Jinxiao, Chen Ping. Adaptive Segmentation Algorithm for CT Image Sequence Based on Structure Continuity as Prior Information[J]. Laser & Optoelectronics Progress, 2016, 53(11): 111006 Copy Citation Text show less
    References

    [1] Zhou Xuecheng, Luo Xiwen, Liu Zhengmin. Advances in CT image segmentation technology for plant roots in situ[J]. Computer Engineering and Design, 2007, 28(20): 4252-4256.

    [2] Lu Zhaojin. Degradation elements analysis of digital radiographic image[D]. Taiyuan: North University of China, 2006.

    [3] Gonzalez R C. Digital image processing[M]. Beijing: Beijing Industry Press, 2004.

    [4] Wang Lin, Hu Cuiying, Pang Qichang, et al. TCM spectral imaging detection based on self-adaptive region segmentation method[J]. Laser & Optoelectronics Progress, 2013, 50(12): 121002.

    [5] Funka-Lea G, Boykov Y, Florin C, et al. Automatic heart isolation for CT coronary visualization using graph-cuts[C]. IEEE International Symposium on Biomedical Imaging, 2006: 614 - 620.

    [6] Shen Zhengwen, Gao Yuanyuan, Zhang Yu. Automatic segmentation of four dimensional computed tomography of lung tumor based on star shape prior and graph cuts[J]. Journal of Biomedical Engineering, 2016, 33(2): 295-302.

    [7] Wang Guanglei, Yuan Hao, Wei Shuai, et al. A novel sequence aorta CTA image segmentation algorithm based on region growing and clustering[J]. Journal of Hebei University (Natural Science Edition), 2015, 35(6): 644-650.

    [8] Jain S, Gupta S, Gulati A. An adaptive hybrid technique for pancreas segmentation using CT image sequences[C]. International Conference on Signal Processing, Computing and Control, IEEE, 2015.

    [9] Zhang Yujin. Image engineering[M]. 3rd edition. Beijing: Tsinghua University Press, 2013.

    [10] Han S Q, Wang L. The review of threshold methods in image segmentation[J]. System Engineering and Electronics, 2002, 4(6): 91-102.

    CLP Journals

    [1] Guoyin Ren, Xiaoqi Lü, Nan Yang, Dahua Yu. Research and Realization of Local Cardiovascular Computed Tomography Extraction Algorithm in Lesion Assisted Diagnosis[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051701

    [2] Li Zikang, Xu Guizhi, Guo Miaomiao. Design and Research of Audio-Visual Fusion Blind Guiding Robot[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121506

    [3] Nie Fangyan, Li Jianqi, Zhang Pingfeng, Tu Tianyi. A Threshold Selection Method for Image Segmentation Based on Tsallis Relative Entropy[J]. Laser & Optoelectronics Progress, 2017, 54(7): 71002

    [4] Hongbing Yao, Jinwen Bian, Jiawei Cong, Yin Huang. Medical Image Segmentation Model Based on Local Sparse Shape Representation[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051011

    [5] Qi Wang, Yan Piao. Depth Image Acquisition Technology Based on Improved Genetic Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021003

    Wang Sukai, Pan Jinxiao, Chen Ping. Adaptive Segmentation Algorithm for CT Image Sequence Based on Structure Continuity as Prior Information[J]. Laser & Optoelectronics Progress, 2016, 53(11): 111006
    Download Citation