基于随机森林和超像素分割优化的车载红外图像彩色化算法
沈振一, 孙韶媛, 侯俊杰, 赵海涛. 基于随机森林和超像素分割优化的车载红外图像彩色化算法[J]. 红外技术, 2015, 37(12): 1041.
SHEN Zhen-yi, SUN Shao-yuan, HOU Jun-jie, ZHAO Hai-tao. The Vehicle Infrared Image Colorization Algorithm Based on Random Forest and Superpixel Segmentation[J]. Infrared Technology, 2015, 37(12): 1041.
[1] 孙宁, 翟尚礼, 赵春光. 扫描型红外图像实时目标检测研究 [J].中国图象图形学报, 2011(4): 600-605.
Sun Ning, Zhai Shangli, Zhao Chunguang. Studies on real-time target detection of scanning infrared images[J]. Journal of Image and Graphics, 2011(4): 600-605.
[2] 王艳, 鲍建跃, 林晓春, 等. 基于 FPGA的红外图像目标检测[J].西安电子科技大学学报, 2003(5): 403-407.
Wang Yan, Bao Jianyue, Lin Xiaochun, et al. Infrared image target detection based on FPGA[J]. Journal of Xidian University, 2003(5): 403-407.
[3] 孙韶媛, 李琳娜, 赵海涛. 采用 KPCA和 BP神经网络的单目车载红外图像深度估计[J].红外与激光工程 2013, 42(9): 2348-2352.
Sun Shaoyuan, Li Linna, Zhao Haitao. Depth estimation from monocular vehicle infrared images based on KPCA and BP neural network[J]. Infrared and Laser Engineering, 2013, 42(9): 2348-2352.
[4] 邹芳喻, 孙韶媛, 席林, 等. 具有深度视觉感的车载红外图像彩色化方法[J].激光与光电子学进展, 2013, 50(1): 106-112.
Zou Fangyu, Sun Shaoyuan, Xi Lin, et al. Color stereo vision method of vehicular infrared images with depth perception[J]. Laser & Optoelectronics Progress, 2013, 50(1): 106-112.
[5] Ce Liu, Yuen, J: Nonparametric Scene Parsing via Label Transfer[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33 (12): 2368-2382.
[6] Yang Y, Hallman S, Ramanan D. Layered object models for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(9): 1731-43.
[7] Yang Yiqing, Li Zhouyuan, Zhang Li. Local label descriptor for example based semantic image labeling[C]//European Conference on Computer Vision, 2012, 7578: 361-375.
[8] 代中华, 孙韶媛, 许真, 等. 一种车载红外视频彩色化算法 [J].红外技术, 2010, 32(10): 0595-0600.
[9] Breiman L. Random forests[J]. Machine Learning, 2001, 45(1):5-32.
[10] Andy L, Matthew W. Classification and regression by random forest[J]. R news, 2002, 2(3):18-22.
[11] Saxena A, Sun M, Aanrew Y Ng. Learning 3-D scene structure from a single still image[C]//IEEE 11th International Conference, 2007: 1-8.
[12] Saxena A, Sun M, Aanrew Y Ng. Make 3D: Learning 3-D scene structure from a single still image[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(5): 820-840.
[13] 王春瑶, 陈俊周, 李炜. 超像素分割算法研究综述 [J].计算机应用研究, 2014, 31(1): 0006-0012.
Wang Chunyao, Chen Junzhou, Li Wei. Review on superpixel segmentation algorithms[J]. Application Research of Computers, 2014, 31(1): 0006-0012.
[14] Achanta R, Shaji A, Smith K, et al. SLIC Superpixels compared to state-of-the-art superpixel methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274-2282.
[15] Felzenszwalb P F, Huttenlocher D P. Efficient graph-based image segmentation[J]. International Journal of Computer Vision, 2004, 59(2): 167-181.
[16] Liu M Y, Tuzel O, Ramalingam, et al． Entropy rate superpixel segmentation[C]//Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2011: 2097-2104.
沈振一, 孙韶媛, 侯俊杰, 赵海涛. 基于随机森林和超像素分割优化的车载红外图像彩色化算法[J]. 红外技术, 2015, 37(12): 1041. SHEN Zhen-yi, SUN Shao-yuan, HOU Jun-jie, ZHAO Hai-tao. The Vehicle Infrared Image Colorization Algorithm Based on Random Forest and Superpixel Segmentation[J]. Infrared Technology, 2015, 37(12): 1041.
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