基于ROA-MSP的激光图像边缘检测方法

Laser image edge detection method based on ROA-MSP

传统的激光图像边缘检测方法受到图像分辨率低、边缘模糊等因素的影响,因此,设计ROA-MSP的激光图像边缘检测方法。首先分析了激光图像成像原理,分析了其在成像过程中的影响因素,然后对激光图像的滤波处理,在此基础上对图像形态学处理,对信号进行变换,并建立调节函数,对图像增强处理,最后采用ROA-MSP算法,制定检测流程,以此实现强噪声条件下的激光图像边缘检测。实验将边缘漏检次数、边缘检测时间与边缘分割精度作为对比指标,实验结果表明,设计方法的漏检率平均为5.2%,边缘检测时间平均为1.6 s,边缘分割精度为97%左右。

Traditional laser image edge detection method is affected by low image resolution, fuzzy edge and other factors, so a laser image edge detection method based ROA-MSP is designed. Firstly, the principle of laser image imaging and its influencing factors in imaging process are analyzed. Then, the laser image is filtered. On this basis, the image morphology is processed, the signal is transformed, and the adjustment function is established to enhance the image. Finally, the ROA-MSP algorithm is used to formulate detection process, so as to realize laser image edge detection under strong noise conditions. The times of missing edge detection, the time of edge detection and the accuracy of edge segmentation are compared in experiment. The experimental results show that the average rate of missing edge detection is 5.2%, the average time of edge detection is 1.6 s, and the accuracy of edge segmentation is about 97%.