基于灰色系统理论的经纬仪噪声图像处理方法

Processing Method of Image Captured by Photo-electronic Theodolite Based on Gray System Theory

针对经纬仪拍摄图像中含有的大量复杂噪声严重影响目标图像的自动判读的问题,提出了一种基于灰色系统理论的噪声图像处理方法。该方法通过引入灰色关联度分析,可以更好地滤除噪声、检测图像像素的边缘特性,准确识别目标图像。噪声得到有效地抑制,既没有丢失目标边界信息,也没有多余的虚假边缘信息,工程实用性好。

There is much complex noise in the images captures by the photo-electronic theodolite,which will affect seriously the automatic objects identification.Therefore,an image processing method was pro-posed based on the gray system theory.According to the analysis of the gray correlation,this new method can denoise the image and detect the edge more effectively.As a result,the object image can be identified clearly.At the same time the false object identification can be avoided successfully.Not only the edge of the object is not lost but also the false edge is removed.