关键词: 气体检测, 嵌入式系统, 图像处理, 模式识别

Abstract: A fast gas detection system and its image analysis algorithm based on embedded platform and porphyrin sensor arrays were designed to overcome the deficiency of the traditional gas detection methods. The system captured the images before and after porphyrin sensor arrays contacted with gases using the camera with USB interface at first. Then the color change information of each porphyrin spot in the images could be obtained by using the image processing algorithm. Finally the type and the concentration of unknown gas were recognized using pattern recognition algorithm. In addition, the design of the system structure and its software function were proposed. The image processing algorithm for porphyrin sensor array images and pattern recognition for matching the records in standard database were given. Lots of tests had been done for Ammonia and other gases. The experimental results show that the system and analysis algorithm can identify the type and concentration of gas.

Key words: gas detection, embedded systerm, image processing, pattern recognition