基于强噪声条件下的激光图像边缘检测研究

Research on laser image edge detection based on strong noise

边缘检测是激光图像处理的一个重要步骤,针对当前激光图像边缘检测误差大,易受噪声干扰等缺陷,为了获得完整的激光图像边缘,设计了基于强噪声条件下的激光图像边缘检测方法。首先采集激光图像,采用直方图均衡技术对原始激光图像进行增强处理,改善激光图像质量,然后采用小波变换去除激光图像噪声,并采用Canny算子进行激光图像边缘检测,最后测试结果表明,与当前激光图像边缘检测方法相对比,本方法能够检测出更多激光图像边缘细节,激光图像边缘检测精度的平均值超过93%,而且激光图像边缘检测时间控制60 ms以内,为激光图像提供了一种高精度检测技术。

Edge detection is an important step in laser image processing.In order to obtain complete laser image edges,a laser image edge detection method based on strong noise is designed for the defects such as large error in laser image edge detection and easy to be disturbed by noise.First,the laser image is collected,and the histogram equalization technology is used to enhance the original laser image to improve the quality of the laser image.Then,wavelet transform is used to remove the noise of the laser image,and the Canny operator is used to detect the edge of the laser image.Finally,the test results show that compared with the current laser image edge detection method,this method can detect more details of the laser image edge,The average value of laser image edge detection accuracy is more than 92%,and the laser image edge detection time is controlled within 60 ms.Laser image provides a high-precision detection technology.