摘要
针对红外图像对比度低、边缘模糊的缺点,文章研究了红外图像的边缘检测问题。在应用设计中集成了数学形态学和Sobel算子的红外图像边缘检测算法,设计过程如下:首先,采用四种不同结构元素的数学形态学运算来检测红外图像边缘;然后,通过这四种操作对红外图像进行处理,得到有用的红外图像细节,得到二值图像;最后,利用Sobel算子对包含细节的二值图像进行锐化和细化,可以检测出红外图像的边缘。运行结果表明,应用程序端采用文中所提出的检测算法,相比传统的边缘检测算法能够更有效地检测出红外图像的边缘信息。
In view of the shortcomings of low contrast and blurred edges of infrared images,this paper studies the edge detection of infrared images.Infrared image edge detection algorithm integrating mathematical morphology and Sobel operator is integrated in the application design.The design process is as follows:Firstly,the mathematical morphology operation of four different structural elements is used to detect the edge of the infrared image;then,through these four operations The infrared image is processed to obtain useful infrared image details to obtain a binary image.Finally,the edge of the infrared image can be detected by sharpening and refining the binary image containing the detail using the Sobel operator.The running results show that the application side uses the detection algorithm proposed in this paper,which can detect the edge information of the infrared image more effectively than the traditional edge detection algorithm.
作者
曹西林
Cao Xilin(Xi'an railway vocational&technical institute,Department of Basic,Xi'an,710026)
出处
《现代科学仪器》
2018年第4期30-33,共4页
Modern Scientific Instruments
