Study and design of modularized real-time processor for infrared thermal image

Qian Chen; Lianfa Bai; Ming Fang

doi:10.1117/12.441421

25 September 2001 Study and design of modularized real-time processor for infrared thermal image

Qian Chen, Lianfa Bai, Ming Fang

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441421
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

The new-type infrared thermal imaging technology should be a combination of infrared detecting and real-time processing. The intelligence ,modularity, miniature and real-time are the developmental subjects in infrared image processing In this paper, on the basis of the researching in the architecture feature of nowadays digital image processing system, the development. ideas and technology approaches of infrared image real-time processing are described .The new types of structure and technique of infrared thermal image real-time processing--adaptive time-space sequence flow network construction and feature weighting adaptive real-time processing method are presented firstly. According to the infrared image characteristics, the histogram of infrared image and the correlation inside frame or interframe are analyzed in detail, and some image enhancement methods are taken. These thermal image processing theory and algorithm are realized by hardware circuit. In PCB design, additional circuit noise and digital pulse interference are discussed deeply. On the basis of many experiments, the PCB design regulations with anti-interference are established. Finally, the Modularized Infrared Image Real-time Processor is finished with noise suppression and image enhancement. The design and circuit construction of the modularized infrared image real-time processor are given.

Citation Download Citation

Qian Chen, Lianfa Bai, and Ming Fang "Study and design of modularized real-time processor for infrared thermal image", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441421

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