Image mosaic algorithm based on improved BRISK

	Image mosaic algorithm based on improved BRISK
	Dong, Q.; J. Liu; C. Wang and Q. Zhou
	2017
发表期刊	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
卷号	39 期号:2
摘要	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. 2017, Science Press. All right reserved.
收录类别	ei
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/58883
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Dong, Q.,J. Liu,C. Wang and Q. Zhou. Image mosaic algorithm based on improved BRISK[J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,2017,39(2).
APA	Dong, Q.,J. Liu,&C. Wang and Q. Zhou.(2017).Image mosaic algorithm based on improved BRISK.Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,39(2).
MLA	Dong, Q.,et al."Image mosaic algorithm based on improved BRISK".Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 39.2(2017).

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