Real-time Infrared Image Processing Research Articles

Real-time infrared image processing for control and monitoring of greenhouse system

Providing microclimate conditions in greenhouse systems is very important in terms of growing desired products. In addition, remote sensing and data analysis processes need to be developed and expanded to perform fast and perfect monitoring and control in these systems. An application of remote sensing with infrared imaging in greenhouse systems has been developed. It is proposed to obtain the mean temperature inside the greenhouse via infrared images, the air relative humidity with psychrometric chart application, and the soil moisture values with the multiple regression analysis method. The control and monitoring of automatic irrigation, heating, humectation, ventilation, and lighting systems were carried out via the MATLAB–GUI interface. The desired conditions for the carnation plant were ensured in the greenhouse, and 24-h data were obtained. The digital and visual application findings showed that the designed system is more advantageous in terms of ease of use, monitoring, and simultaneous recording compared with the traditional sensor control systems.

New real-time image processing system for IRFPA

Influenced by detectors' material, manufacturing technology etc, every detector in infrared focal plane array (IRFPA) will output different voltages even if their input radiation flux is the same. And this is called non-uniformity of IRFPA. At the same time, the high background temperature, low temperature difference between targets and background and the low responsivity of IRFPA result in low contrast of infrared images. So non-uniformity correction and image enhancement are important techniques for IRFPA imaging system. This paper proposes a new real-time infrared image processing system based on Field Programmable Gate Array(FPGA). The system implements non-uniformity correction, image enhancement and video synthesization etc. By using parallel architecture and pipeline technique, the system processing speed is as high as 50Mx12bits per second. It is appropriate greatly to a large IRFPA and a high frame frequency IRFPA imaging system. The system is miniatured in one FPGA.

Real time infra-red image processing for the detection of delamination in composite plates

Abstract The rapid estimation of the damage of a composite plate is possible with thermal methods. Such methods have been improved with the use of high performance based on focal plane array of quantum detectors (Jade III from CEDIP) and suitable processing methods. Such processing methods consist in associating the experimental advantage of the flash method and some characteristics of periodic methods related to the processing of a great quantity of data. The main idea is to use as reference transient signal the spatially averaged image evolution. Some practical aspects of the method applied to the estimation of delamination characteristics are presented. The experiments are obtained from damaged composite plates (transparent fibre glass epoxy sample covered with a black painting).

Real time infrared image processing

The paper studies the techniques of real time infrared image processing. The enhancement of real time infrared image is mainly discussed. With enhancement of real time infrared image, the authors suggest main methods that are local histogram equalization, pseudo color display, average of multiple frames and accumulation of multiple fields, contour enhancement and restoration coefficient. Empasis is laid on the restoration coefficient method, in this paper. On the basis of describing the model of the method, the conerete project for realizing enhancement of the real time infrared image is put forward, and the practical example is given.