【摘要】 针对电力监测系统中使用的彩色仪表,提出了一种基于彩色区域识别的快速报警指针识别算法。传统直线检测采用Hough变换,具有存储空间大,计算时间长等缺点。创新性地将图像彩色信息和Hough变换相结合,通过识别指针所在的区域颜色,判断是否需要报警输出,并为下一步精确识别指针示数确定Hough变换的搜索范围,通过减小搜索范围来减少Hough算法需要的内存空间和计算时间。实验结果表明,改进算法比传统算法具有明显更高的效率。更多还原

【Abstract】 A fast alarm pointer recognition algorithm based on color region recognition has been proposed in this paper for the color instrument used in the electric monitoring system. The traditional line detection algorithms take use of Hough transformation,which ask for a large storage space and a long computation time. Combining the image color information and Hough transformation creatively,whether the alarm signal should be outputted will be determined by identifying the color of the region where the pointer lies,which will confirm the search range of the Hough transformation algorithm for the accurate next identification. The required memory space and computation time will be reduced by shrinking the search range. Experiment results show a higher efficiency of the improved algorithm than that of the traditional algorithm.更多还原