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ISSN Druckformat: 1065-3090
ISSN Online: 1940-4336
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A NEW METHOD FOR RECOGNITION AND DE-NOISING FOR MIDDLE WAVE INFRARED IMAGING
ABSTRAKT
In this paper, a new method for recognition and noise removal of Middle Wave Infrared (MWIR) images is presented. In order to show how our novel method works, we carried out experimens, in which an MWIR camera is used to acquire infrared images of a target object with close background temperature and emissivity levels. An experimental box is used to reduce the environmental error, with the average environmental temperature being set at room temperature, 25°C, to make sure our method would be working well in the real life. Moreover, in order to obtain accurate measurements a digital thermocouple and the MWIR camera are used to identify the emissivity of the background and target object. A plate type of temperature keeper is employed to heat the object to different temperatures. In order to have a real-time accurate analysis, the thermography analysis software is used as an interface element to link a personal computer and the output of the MWIR camera to record infrared images. The experimental results show that if the temperature difference is ±1°C and the emissivity level is changing (0.01−0.02)% between the target object and the background, it is difficult to recognize the images because of their blurring, and the noise level is increased. Particularly, in order to recognize the edges of the image and the inner characteristics of the targeted object in MWIR images, one has to remove the noise, hence, an algorithm is needed to be developed to enhance the resolution of the infrared image to make clarity of the targeted object clear. This paper is meeting this needs.