基于图像识别的分光器端口分析方法

OSP Recognition Analysis Method Based on Image Recognition

为了解决中国移动资源数据库中哑设备资源难以精确把控的问题,以分光器为切入点、图像识别角度作为突破口,提出了模拟时间延迟积分(Time delay integration,TDI)成像解析分光器端口的算法。首先对运维人员上传的图像进行筛选,保证图像数据的质量;然后利用HSV颜色空间进行端口位置和轮廓的提取;再使用图像轮廓进行杂点过滤和分光器端口分布方向拟合;最后,使用拟TDI成像算法解析端口占用情况,输出分光器端口占用情况,给出分光器的分光比、占用端口号,以提升资源数据平台对分光器资源的数据质量。结果表明该算法运行速度快,端口分析准确,具有较高的应用前景。

In order to solve the problem that it is difficult to accurately control the resources of dumb devices in China Mobile Resource Database,taking the optical splitter as the entry point and the image recognition angle as the breakthrough,the time delay integration(TDI)-likely imaging analysis algorithm for processing outside plate(OSP)is proposed.Firstly,the uploaded images are filtered to ensure the quality of the image data.Then the HSV color space is used to extract the port position and outline,and the image contours are used to filter the noise and the distribution direction of the splitter port.Finally,this paper uses the TDI-likely imaging algorithm to analyze the port occupancy,outputs the port of the optical splitter and gives the split ratio and the occupied port number of the optical splitter,thus improving the data quality of the splitter resource by the resource data platform.Results show that the algorithm runs fast and the port analysis is accurate,so the algorithm has a high application prospect.