实时图像的电子消旋系统

Electronic system for real-time canceling image rotations

为了消除图像旋转对准确进行目标的自动识别和跟踪带来的影响,提出了一种基于FPGA的电子学消旋方法。该方法利用旋转算法将原图像反向旋转相应的角度,再用双线性插值方法进行重采样,从而得到消旋后的图像。在此基础上构建了以XC2S200-5PQ208为核心处理器的实时图像消旋系统。这种电子学的消旋方法能够克服光学消旋系统加工困难、功耗大、角度分辨率低、体积大等严重不足之处。实验结果表明,该系统能够成功地对256×256×8bit的灰度图像进行实时消旋处理,其消旋角的分辨率最小可达到3′,最大像素误差小于一个像素。

In order to eliminate the influence of image rotation on automatically recognizing and tracking targets, a method for canceling image rotation with electronics is proposed based on FPGA. Through rotating the original image for a corresponding angle in opposite direction and re-sampling the image by double linear interpolation method, an image after rotation-compensation can be obtained. A real-time canceling image rotation system with XC2S200-5PQ208 as its core processor is developed. The disadvantages such as processing difficulties, large power consumption, low angular resolution and large volume system etc., of the optical rotation-compensation system can be overcome. Experimental results show that this system can fulfill real-time canceling rotation of 256×256×8bit image successfully. The least angle of canceling rotation can reach 3′ and the maximum pixel error is less than one pixel.