【摘要】 针对大批量采集图像在定位识别中受到处理速度和干扰等因素影响实时性和准确性不好的问题,提出一种基于特征压缩编码的快速响应矩阵码图像定位算法。首先对大批量采集的图像进行向量量化的矩阵码编码设计,然后采用KL特征压缩器进行图像特征压缩编码,实现快速响应矩阵码图像定位。最后进行实际采集图像的定位实验测试。结果表明,该方法进行图像定位的准确度较高,计算量较小,具有快速性和收敛性较好的优点。更多还原

【Abstract】 Since the mass gathering image affected by the factors of processing speed and interference in orientation recognition has the problems of poor real-time performance and low accuracy,a feature compression code based image localization algorithm of quick response matrix code is put forward. The mass collected images were performed with matrix coding design of vector. The K-L feature compressor is used to carry out the image feature compression coding to realize the image positioning of quick response matrix code. The localization experiment of the actual collection image was tested. The test results show that the method has high accuracy for image positioning,less computation quantity,and the advantages of rapidity and good convergence.更多还原