摘要
图像融合与拼接技术是数据综合处理过程中的新兴技术,该技术在军事领域和民用领域都有广阔的发展应用前景。无人机电力巡检系统中的图像处理算法包括图像预处理、图像配准、图像拼接和拼接缝消除算法。首先运用改进后的图像预处理算法对获取的图像进行优化,其次应用图像融合与拼接算法对多角度图像进行拼接,最后利用新型拼接缝消除算法消除拼接缝。实验结果表明,将整套算法应用于无人机巡检系统中,可对存在一定重叠和旋转的多幅图像进行自动拼接,获得无缝、清晰的大视场图像。
Image fusion and mosaic is a emerging technology for data integrating and processing,which has great development and application prospect in both military and civilian fields .The image processing algorithms used in UAV＆#39;s power patrol inspection include image pre-processing,image registration,image mosaics and seam elimination algorithm.The original images were optimized by an improved image preprocessing algorithm,then the image registration and mosaics algorithms was used for image mosaics,and a new seam elimination algorithm was applied to eliminate the seam .Thus a seamless and wide field-of-view image was acquired.The test results show that the system can automatically stitch the overlapped images .
出处
《电光与控制》
北大核心
2014年第3期88-91,共4页
Electronics Optics & Control
