摘要
传统Canny边缘检测对于图像边缘检测提取效果相对较好,但是对于人为添加一定密度的椒盐噪声或者高斯噪声时对边缘的检测存在很大的误检以及噪声干扰,传统的Canny算子检测密度较大的椒盐或者高斯噪声图像时,常常会把噪声当成图像边缘进行检测,因此为了解决以上传统Canny对于噪声明显时检测不足的缺陷,本文对传统的Canny边缘检测算子进行改进。仿真结果表明,改进之后的Canny算子在噪声干扰下能够取得完整的图像边缘。
Traditional Canny edge detection for image edge detection extraction effect is relatively good,but for the presence of high density noise,noise on edge detection has great interference,making the traditional detection has some defects.In order to solve the above problems,this paper improves the traditional Canny edge detection operator.According to the simulation results,the improved Canny operator can obtain the complete image edge under the noise interference.
作者
申嘉锡
齐华
王晨
Shen Jiaxi;Qi Hua;Wang Chen(School of Ordnance Science and Technology,Xi’an University of Technology,Xi’an 710021;School of Ordnance Electronic Information,Xi’an University of Technology,Xi’an 710021;School of Electronic Information,Xi’an University of Technology,Xi’an 710021)
出处
《现代计算机》
2022年第3期46-49,共4页
Modern Computer
