基于改进BRISK的图像拼接算法

doi:10.11999/JEIT160324

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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.

Key words： Image registration Image mosaic Binary Robust Invariant Scalable Keypoints (BRISK) feature Nearest-neighbor line segments

Received: 05 April 2016 Published: 02 December 2016

PACS:

TP722

Fund:

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

Corresponding Authors: LIU Jinghong E-mail: liu1577@126.com

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	DONG Qiang
	LIU Jinghong
	WANG Chao
	ZHOU Qianfei

Cite this article:

DONG Qiang,LIU Jinghong,WANG Chao等. Image Mosaic Algorithm Based on Improved BRISK[J]. JEIT, 2017, 39(2): 444-450.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160324 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I2/444

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