Image Mosaic Algorithm Based on Improved BRISK

DONG Qiang; LIU Jinghong; WANG Chao; ZHOU Qianfei

doi:10.11999/JEIT160324

Volume 39 Issue 2

Feb. 2017

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(2): 444-450

DONG Qiang, LIU Jinghong, WANG Chao, ZHOU Qianfei. Image Mosaic Algorithm Based on Improved BRISK[J]. Journal of Electronics & Information Technology, 2017, 39(2): 444-450. doi: 10.11999/JEIT160324

Citation:

DONG Qiang, LIU Jinghong, WANG Chao, ZHOU Qianfei. Image Mosaic Algorithm Based on Improved BRISK[J]. Journal of Electronics & Information Technology, 2017, 39(2): 444-450. doi: 10.11999/JEIT160324

DONG Qiang, LIU Jinghong, WANG Chao, ZHOU Qianfei. Image Mosaic Algorithm Based on Improved BRISK[J]. Journal of Electronics & Information Technology, 2017, 39(2): 444-450. doi: 10.11999/JEIT160324

Citation:

DONG Qiang, LIU Jinghong, WANG Chao, ZHOU Qianfei. Image Mosaic Algorithm Based on Improved BRISK[J]. Journal of Electronics & Information Technology, 2017, 39(2): 444-450. doi: 10.11999/JEIT160324

PDF( 11017 KB)

Image Mosaic Algorithm Based on Improved BRISK

doi: 10.11999/JEIT160324

1.
2.
(Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China)

Funds:

The Key Science and Technology Project of Jilin Province (11ZDGG001), The Forestry Industry Scientific Research for National Public Welfare Projects (201204515)

Received Date: 2016-04-05
Rev Recd Date: 2016-10-11
Publish Date: 2017-02-19

Abstract

Abstract

In order to obtain accurate aerial stitching images, this paper proposes a novel image mosaic method based on Binary Robust Invariant Scalable Keypoints (BRISK) feature of directed line segment, aiming to resolve incident scaling, rotation, changes in lighting condition, the low correct matching rate and low accuracy using conventional BRISK algorithm in image mosaic. This method firstly uses BRISK algorithm to match in order to acquire rough point matching. Secondly, it constructs directed line segments, describes them with BRISK feature, and matches those directed segments. The method is used to purified point matching based on statistical voting. Finally, weighted fusion and luminance equalization are used to image fusion to accomplish image mosaic. The experiment results show that the method has strong robustness and stability for lighting, rotation, resolution and scaling. The proposed method has high precision, and can achieve fine image mosaic results.
- Image registration,
- Image mosaic,
- Binary Robust Invariant Scalable Keypoints (BRISK) feature,
- Nearest-neighbor line segments

FullText(HTML)

References(21)

References

GHOSH D and KAABOUCH N. A survey on image mosaicing techniques[J]. Journal of Visual Communication Image Representation, 2015, 34(C): 1-11. doi: org/10.1016/ j.jvcir.2015.10.014.

张宝龙, 李洪蕊, 李丹, 等. 一种针对车载全景系统的图像拼接算法的仿真[J]. 电子与信息学报, 2015, 37(5): 1149-1153. doi: 10.11999/JEIT141185.

ZHANG Baolong, LI Hongrui, LI Dan, et al. A simulation of image mosaic algorithm based on vehicle panorama system[J]. Journal of Electronics Information Technology, 2015, 37(5): 1149-1153. doi: 10.11999/JEIT141185.

XIE X, XU Y, LIU Q, et al. A study on fast SIFT image mosaic algorithm based on compressed sensing and wavelet transform[J]. Journal of Ambient Intelligence Humanized Computing, 2015, 6(6): 835-843. doi: org/10.1007/s12652- 015-0319-2.

余先川, 吕中华, 胡丹. 遥感图像配准技术综述[J]. 光学精密工程, 2013, 21(11): 2960-2972. doi: 10.3788/OPE.20132111. 2960.

YU Xianchuan, L Zhonghua, and HU Dan. Review of remote sensing image registration technique[J]. Optics and Precision Engineering, 2013, 21(11): 2960-2972. doi: 10.3788/ OPE.20132111.2960.

AGHAJANI K, YOUSEFPOUR R, SHIRPOUR M, et al. Intensity based image registration by minimizing the complexity of weighted subtraction under illumination changes[J]. Biomedical Signal Processing Control, 2016, 25: 35-45. doi: org/10.1016/j.bspc.2015.10.009.

赵春阳, 赵怀慈. 多模态鲁棒的局部特征描述符[J]. 光学精密工程, 2015, 23(5): 1474-1483. doi: 10.3788/OPE.20152305. 1474.

ZHAO Chunyan and ZHAO Huaici. Multimodality robust local feature descriptors[J]. Optics and Precision Engineering, 2015, 23(5): 1474-1483. doi: 10.3788/OPE.20152305.1474.

颜雪军, 赵春霞, 袁夏. 一种鲁棒的基于图像对比度的局部特征描述方法[J]. 电子与信息学报, 2014, 36(4): 882-887. doi: 10.3724/SP.J.1146.2013.00846.

YAN Xuejun, ZHAO Chunxia, and YUAN Xia. A robust local feature descriptor based on image contrast[J]. Journal of Electronics Information Technology, 2014, 36(4): 882-887. doi: 10.3724/SP.J.1146.2013.00846.

WANG Weixing, CAO Ting, LIU Sheng, et al. Remote sensing image automatic registration on multi-scale harris- laplacian[J]. Journal of the Indian Socity of Remote Sensing, 2015, 43(3): 501-511. doi: org/10.1007/s12524-014-0432-2.

LOWE D G. Object recognition from local scaleinvariant features[C]. Proceedings of the 7th International Conference on Computer Vision, Corfu, Greece, ICCV, 1999, 2: 1150-1157.

LOWE D G. Distinctive image features from scale-invariant key points[J]. International Journal of Computer Vision, 2004, 60(2): 91-110. doi: org/10.1023/B:VISI.0000029664.99615.94.

CALONDER M, LEPETIT V, STRECHA C, et al. BRIEF: Binary Robust Independent Elementary Features[C]. European Conference on Computer Vision, Springer Berlin Heidelberg, Germany, 2010: 778-792. doi: org/10.1007/ 978-3-642- 15561-1_56.

LEUTENEGGER S, CHLI M, and SIEGWART R Y. BRISK: Binary Robust Invariant Scalable Keypoints[C]. International Conference on Compater Vision, Barcelona, Spain, 2011: 2548-2555. doi: org/10.1109/ICCV.2011.6126542.

KASHIF M, DESERNO T M, HAAK D, et al. Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment[J]. Computers in Biology and Medicine, 2015, 68: 67-75. doi: org/10.1016/j.compbiomed.2015.11.006.

ZHU Jun and REN Mingwu. Image mosaic method based on SIFT features of line segment[J]. Computational and Mathematical Methods in Medicine, 2014, 2014(6): 926312. doi: org/10.1155/2014/926312.

ZHAO Chunyang, ZHAO Huaici, L? Jinfeng, et al. Multimodal image matching based on multimodality robust line segment descriptor[J]. Neurocomputing, 2016(177): 290-303. doi: org/10.1016/j.neucom.2015.11.025.

黄立勤, 陈财淦. 全景图拼接中图像融合算法的研究[J]. 电子与信息学报, 2014, 36(6): 1292-1298. doi: 10.3724/SP.J.1146. 2013.01220.

HUANG Liqin and CHEN Caigan. Study on image fusion algorithm of panoramic image stitching[J]. Journal of Electronics Information Technology, 2014, 36(6): 1292-1298. doi: 10.3724/SP.J.1146.2013.01220.

Relative Articles

Supplements(0)

Cited By

Proportional views