基于高温辐射体颜色信息的目标图像识别方法

An Object Image Recognition Method Based on the Color Information of A High Temperature Radiator

鉴于准确识别待测目标是利用CCD图像传感器进行高温测量的关键,为此在对高温辐射体彩色图像的噪声特点进行分析的基础上,提出了一种基于高温辐射体颜色信息的目标图像识别方法。该方法首先通过对红、绿基色图像分别进行分割来减小甚至消除高温辐射体图像的各种噪声;然后综合红、绿基色图像的分割结果实现高温辐射体的准确识别,并运用数学形态学方法对分割结果进行后处理,以消除游离点和孔洞,使图像边缘平滑。实验结果表明,该方法可以有效地实现高温辐射体的正确识别,具有较强的实用性。

The key of high temperature measurement by using CCD image sensor is to recognize the measured object accurately. From analyzing the characteristic of the noises in high temperature radiator color image, an image recognition method of high temperature radiator is proposed, which is based on the color information of a high temperature radiator. By segmenting the red and green color images, the various noises in high temperature radiator color image are reduced or even eliminated. And then, by synthesizing the results of the segmented red and green color images, the high temperature radiator is recognized accurately. Finally, in order to smooth the image＇s edge, the morphology method in mathematics is applied to process the segmented image and remove the dissociations and narrow holes. The experimental results show that the method can recognize high temperature radiator with high accuracy and practicability.