摘要
基于OpenCV2的红外热源图片和可见光图片的处理应用,其目的是进行物品的检测。首先为了检测特定空间环境下是否有热源,对应的是红外热源图片的处理,目的主要用来检测和判断识别红外热源图片中是否有热源,并通过实验结果把热源标注出来。其基本实现原理是基于HSI颜色模型的饱和度S分量对红外热源区域的饱和度和周围区域不同。其次为了检测特定空间环境中前后对比的变化,对应的是可见光图片的处理,主要是用来检测和判断识别2张可见光图片中差异的部分,并通过实验结果标示出来。其基本原理是基于OpenCV2中已经封装好的SURF特征提取算法提取特征点,并经过一系列计算处理,最终在可见光结果图片中标示出差异的部分。
The processing and application of infrared heat source pictures and visible light pictures based on OpenCV2.Its purpose is to detect items.First,in order to detect whether there is a heat source in a specific space environment,the corresponding is the processing of infrared heat source pictures.The purpose is mainly to detect and identify whether there is a heat source in the infrared heat source pictures,and label the heat source through the experimental results.The basic realization principle is based on the difference of the saturation S component of HSI color model between the infrared heat source region and the surrounding region.Secondly,in order to detect the change of contrast in a specific space environment,the corresponding is the processing of visible light pictures,which is mainly used to detect and identify the difference between two visible light pictures,and is shown by the experimental results.Its basic principle is to extract feature points based on the encapsulated SURF feature extraction algorithm in OpenCV2,and after a series of computational processing,finally show the difference in the visible result pictures.
作者
蒋永光
张倩武
Jiang Yongguang;Zhang Qianwu(Key Laboratory of Special Optical Fiber and Optical Access Network,Shanghai University,Shanghai 200444,China)
出处
《电子测量技术》
2019年第14期131-136,共6页
Electronic Measurement Technology
