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基于图像融合的全景泊车辅助系统研究 被引量:2

Panorama parking assist system based on image fusion
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摘要 针对全景泊车辅助系统中图像融合效果较差的问题,提出一种渐入渐出的图像融合算法.首先,根据配准完成的全景图像选取出重合区域,并确定其边界的坐标参数值;在此基础上,计算该区域中像素点坐标到其边界的最短距离以得出融合算法的权值,并采用上述权值进行图像融合,从而得出汽车四周的全景图像;最后,利用实例验证了该方法的有效性与可行性. The issue of fade-in-fade-out algorithm for panoramic image fusion of parking assist system was proposed to improve the visual effect of image fusion.The overlap region was determined by accord-ing to panoramic image of registration.And the coordinates of the boundary parameter were determine. Based on this,the shortest distance of the pixel coordinates to its borders was derived to determine the weighting of fusion algorithm.And these weights of image fusion were used.Then the panoramic image a-round the car was given.Finally,the examples were presented to verify the feasibility and effectiveness of the proposed results.
出处 《安徽工程大学学报》 CAS 2015年第5期58-62,共5页 Journal of Anhui Polytechnic University
基金 国家自然科学基金项目资助(61203033 61172131 61271377)
关键词 图像融合 渐入渐出 重合区域 泊车辅助 image fusion fade-in-fade-out overlap region parking auxiliary
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