车辆全景成像探测的快速目标拼接算法

全景成像技术以及图像拼接、图像配准等与其相关的技术,都属于机器视觉及模式识别领域。由于其成像系统视场较大,且无论远近都可以清晰成像,因此,全景成像技术具有广阔的应用前景,例如,在军事领域中的侦察、空间探索等,民用领域中的医疗设备、防盗预警、机器人视觉等等。正是由于上述原因对全景成像技术,具有很高的研究和实践价值。本文对全景成像技术的研究主要有以下四个方面:第一,深入研究了全景成像的获取方式,在此基础上分析其获取方式的优缺点;第二,实现了图像的预处理,即完成了对获取图像进行了校正和去噪,通过对不同的图像采用滤波算法实现;第三,在图像拼接方面,实现了基于比较匹配的图像拼接算法,通过采取平行景物线匹配算法消除了灰度差异的影响,对拍摄同一景深下的图片进行拼接;第四,在不同景深条件下,对图像进行拼接,并完成了基于Harris特征点检测算子的特征提取算法。

The Fast Stitching Algorithm of Vehicle Panoramic Imaging Detection

Panorama imaging technology,together with relevant technologies such as image mosaic and image registration,belongs to the realm of machine vision and pattern recognition.A panorama imaging system has outstanding advantages of super wide vision field,deep depth of field,focused image for both far and near objects,small bulk,light weight,good aseismatic quality,etc.There is bright martial and civil foreground for its applications,for instance,military reconnaissance,guard against theft,public safety,medical instruments,pipe surveillance,geological exploration,ocean research,space detection,3-D object or environment rebuilding,robot vision,virtual environment guiding,thus it is of high research value.For panoramic imaging acquisition of study and analyzes the advantages and disadvantages of obtaining way.Achieve the image pretreatment,completed the acquisition of image was corrected and denoising,through to the different image filtering algorithm.Image stitching,based on the comparison of image mosaics algorithm,by taking parallel scene matching algorithm eliminates the effect of gray difference,shooting the same depth of mosaic images.According to different depth of field of the image mosaic,is completed based on Harris feature point detection operator feature extraction algorithm.