一种针对车载全景系统的图像拼接算法的仿真

A Simulation of Image Mosaic Algorithm Based on Vehicle Panorama System

传统的全景图像拼接算法,多采用Harris角点的特征提取或尺度不变特征转换(SIFT)的特征匹配算子的方式,对存在重合部分的图像进行图像拼接处理。但对于车载全景图像拼接算法而言,车身四周采集到的4幅鱼眼畸变图像,使用特征提取算子的方法进行的拼接,运算的复杂度高,效率低,不能满足车载设备的实时性要求。针对这一问题,该文提出一种专门应用在车载系统的车载全景图像拼接算法,并对其进行Matlab仿真,最大限度提高算法的运算效率,以满足车载系统实时性的要求,真实的反应路况信息,辅助驾驶员安全驾驶。

For the mosaic algorithm of traditional panoramic image, the Harris corner extraction or the Scale-Invariant Feature Transform （SIFT） feature matching are the most commonly used methods for resolving the parts of image overlap. But for the vehicle panoramic image mosaic algorithm, four images of fisheye distortion around a car are spliced by the algorithm of feature extraction. The algorithm has high computational complexity, low efficiency and is not able to satisfy the real-time requirements of vehicle equipment. Aiming at this problem, a mosaic algorithm for the panoramic images specially used in the vehicle system is proposed and simulated in matlab. The result is to maximize the efficiency of the algorithm and meet the requirements of real-time for the vehicle system. It can be achieved that the real traffic information is displayed for protecting the safety of the driver.