摘要
针对智能车安检系统图像快速拼接容易出现鬼影现象,本文提出一种新的图像拼接算法。首先使用SURF算法提取特征点,然后对特征点匹配并变换图像,最后使用非线性加权融合算法融合重合区域,对重合区域边界部分设置的权重变化小,而中心部分的权重变化大,达到图像间快速平滑过渡的效果。另外,针对图像亮度不同导致的拼接结果的整体亮度不够平滑,引入亮度统一过程,将图像进行空间转换,在lαβ颜色空间完成亮度变换操作。该算法能够有效地消除拼缝及鬼影现象,并保证了图像亮度的一致性,仿真实验验证了算法的有效性。
This paper presents a new image mosaic algorithm for the ghosting phenomenon in image merging of smart car security system.We initially extract characteristic points from an image with SURF algorithm.We then match them and transform the image.We eventually merge the overlap area with a nonlinear weighted fusion algorithm.We set less weights for the border of the overlap area,and greater weights for the center of the overlap area to achieve the smooth transition between two adjacent images.On the other hand,the overall brightness of a merged image will not be smooth if the brightness of the image is different.Brightness transform is achieved in color space lαβ by introduction of brightness unification process and space transform for an image.Simulation results show that the algorithm can effectively eliminate patchwork and ghosting and guarantee consistency of the brightness of an image.
出处
《山东科学》
CAS
2014年第3期44-50,共7页
Shandong Science
基金
山东省信息产业发展专项资金(2012D1701)
山东省博士基金(BS2010DX031)
济南市科技明星计划(20110107)
关键词
图像拼接
亮度统一
SURF
加权融合
image mosaic
brightness unification
SURF
weighted fusion
