基于彩色图像分割的高温辐射体识别方法

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.本文在对高温辐射体彩色图像的噪声特点进行分析的基础上,提出一种基于彩色图像分割的高温辐射体识别方法,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.

Recognition Method of High Temperature Radiator Based on Color Image Segmentation

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