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作 者:万志港 邬春学[1] WAN Zhigang;WU Chunxue(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093)
机构地区:[1]上海理工大学光电信息与计算机工程学院,上海200093
出 处:《计算机与数字工程》2024年第7期2155-2160,共6页Computer & Digital Engineering
基 金:国家重点研发计划(编号:2018YFC0810204,2018YFB1702601);上海科技创新行动计划项目(编号:16111107502)资助。
摘 要:图像拼接过程中存在着视角、颜色、纹理信息等差异,这些差异严重影响了图像拼接质量。针对此问题,论文提出了一种改进最优拼接线的图像拼接算法。在图像配准方面,基于超像素分割算法对局部单应性模型进行改进,提高了图像配准的精度,削弱了视差对图像拼接过程的影响;在接缝切割方面,基于原有平滑项中考虑了色差与梯度差信息,在平滑项中添加了显著性感知权重与纹理性信息。实验证明,该算法提高了图像配准的精度,保护了视觉显著物体结构,避免了错位、重影现象的发生,能够拼接生成高清自然的宽视域图像。In the process of image mosaic,there are differences in perspective,color and texture information,which seriously affect the quality of image mosaic.To solve this problem,this paper proposes an image stitching algorithm based on improved opti⁃mal stitching.In the aspect of image registration,the local homography model is improved based on the super-pixel segmentation al⁃gorithm,which improves the accuracy of image registration and weakens the influence of parallax on the image mosaic process.In the aspect of seam cutting,based on the consideration of color difference and gradient difference information in the original smooth⁃ing item,significant perceptual weight and texture information are added to the smoothing item.Experiments show that the algorithm improves the accuracy of image registration,protects the structure of visually significant objects,avoids the occurrence of disloca⁃tion and ghosting,and can splice high-definition natural wide field of view images.
关 键 词:图像配准 超像素分割 接缝切割 显著性感知 纹理信息
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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