We propose new approach for THz image quality enhancing using correlation function (convolution function) between Fourier transform of the image under consideration and Fourier transform of a standard image which can be enough complex. It is very important to stress that a standard image choosing allows us to remove essentially spurious parts of the image.
We discuss one more possibility to remove noise from background of the image as well as possibility of the image decomposition and its reconstruction.
One of urgent security problems is a detection of objects placed inside the human body. Obviously, for safety reasons one cannot use X-rays for such object detection widely and often. For this purpose, we propose to use THz camera and IR camera.
Below we continue a possibility of IR camera using for a detection of temperature trace on a human body. In contrast to passive THz camera using, the IR camera does not allow to see very pronounced the object under clothing. Of course, this is a big disadvantage for a security problem solution based on the IR camera using. To find possible ways for this disadvantage overcoming we make some experiments with IR camera, produced by FLIR Company and develop novel approach for computer processing of images captured by IR camera. It allows us to increase a temperature resolution of IR camera as well as human year effective susceptibility enhancing. As a consequence of this, a possibility for seeing of a human body temperature changing through clothing appears.
We analyze IR images of a person, which drinks water and eats chocolate. We follow a temperature trace on human body skin, caused by changing of temperature inside the human body. Some experiments are made with observing of temperature trace from objects placed behind think overall. Demonstrated results are very important for the detection of forbidden objects, concealed inside the human body, by using non-destructive control without using X-rays.
We discuss a correlation function using for developing of new algorithm that allows us to detect a hidden object
without analyzing of image captured by the passive THz camera. Main idea of this approach concludes in correlation
calculating between the image characteristics and corresponding characteristics of standard image. Obviously, a
difference in temperature between a person body and object hidden under clothes takes place always. However, this
difference can be invisible for human eyes. Using the correlation function we can increase a contrast between two
objects and this allows to see an object or to produce alarm by computer.
We discuss a choice of standard image characteristics for an achievement of correlation function for high contrast.
Other feature of our approach arises from a possibility of a person image coming to the THz camera by using a
computer processing of the image only. It means that we can “decrease” a distance between a person and the passive
THz camera. This algorithm is very convenient for using and has a high performance.
One of urgent security problems is a detection of objects placed inside the human body. Obviously, for safety reasons one cannot use X-rays for such object detection widely and often. Three years ago, we have demonstrated principal possibility to see a temperature trace, induced by food eating or water drinking, on the human body skin by using a passive THz camera. However, this camera is very expensive. Therefore, for practice it will be very convenient if one can use the IR camera for this purpose. In contrast to passive THz camera using, the IR camera does not allow to see the object under clothing, if an image, produced by this camera, is used directly. Of course, this is a big disadvantage for a security problem solution based on the IR camera using. To overcome this disadvantage we develop novel approach for computer processing of IR camera images. It allows us to increase a temperature resolution of IR camera as well as increasing of human year effective susceptibility. As a consequence of this, a possibility for seeing of a human body temperature changing through clothing appears. We analyze IR images of a person, which drinks water and eats chocolate. We follow a temperature trace on human body skin, caused by changing of temperature inside the human body. Some experiments were made with measurements of a body temperature covered by T-shirt. Shown results are very important for the detection of forbidden objects, cancelled inside the human body, by using non-destructive control without using X-rays.
We propose a real-time algorithm of computer processing for the passive THz image with the aim of concealed object detection without looking through this image. The algorithm uses a correlation function between the THz image and a standard image. The sound alarm takes place if a correlation function value is greater than its certain value. This algorithm allows us to do a conclusion about presence of forbidden objects on the human body by using computer analysis.
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