It is important for scene generation to keep the texture of infrared images in simulation of anti-ship infrared imaging
guidance. We studied the fractal method and applied it to the infrared scene generation. We adopted the method of
horizontal-vertical (HV) partition to encode the original image. Basing on the properties of infrared image with sea-sky
background, we took advantage of Local Iteration Function System (LIFS) to decrease the complexity of computation
and enhance the processing rate. Some results were listed. The results show that the fractal method can keep the texture
of infrared image better and can be used in the infrared scene generation widely in future.
The enhancement, segment and edge detection of infrared images are one of the key techniques in precise guidance. It
owns strong application background and is studied widely. The soft mathematical morphology can compress the noise
effectively, get better processing results and complete processing in real time. In addition, the structuring systems are
constructed in advance and remain unchanged in general image processing. This property can make the method run in
parallel effectively. So it is well adapted to infrared images processing. In this paper, we analyzed and discussed the
applications of soft morphology theory in infrared ship image. We introduced the soft mathematical morphological
operations in section two. Then the hardware framework of DSPs was given briefly. The software design and code
optimal design were also discussed. At last the conclusions are drawn.
The laser radar is a radar system adopting laser photosource and operating on optical band and the laser
heterodyne measurement is a detection technique with high sensitivity. Optical system plays an important role in
heterodyne detection system. The reasonable selection of performance parameters of optical system has direct
influence upon the ability of system to detect objects. The characteristics of the receiver and the transmitter are
discussed in this paper. In order to make the diffraction disk matching the detector size, the laser beam are confined
and made the beam divergence angle of the transmitter equal to the receiver angle determined by antenna theory. In
order to transmit laser to target's surface and receive the echo from the target efficiently, each optical parameter of
the detective system must accord with the coherent condition. The CO2 laser coherent imaging radar system
established by us can get the photo-quality imaging of the target and it has wide application foreground. Primary
parameters including beam expander's clear aperture, beam divergence angle, the focus of system etc and
calculating examples were given to show how to determine the parameter of optical system and realize these
purposes.
There are low target-to-background contrast, blurred edge and stronger noise in the infrared images which are always used in precise guidance. When applied to process the images, the traditional methods cannot get better processing result, because it cannot compress the noise effectively. But the soft mathematical morphological filter is non-linear filter and has many merits such as less sensitivity, higher computation speed etc. So it is well adapted to infrared images processing. The main performance of the soft morphological filter depends on different morphological exchange types and structuring elements. Unfortunately, there are no analytical criteria for choosing these structuring parameters. In order to obtain better image processing result, we must choose the most suitable structuring system based on specific task of image processing. In this paper, we take advantage of the profile and IR properties of ship to determine the shape and size of the structuring elements, and use the threshold theory to determine the values of structuring elements. The structuring system is applied to actual IR ship images. Some processing results are also listed in this paper. After the comparing of different results, a suitable structuring system is given at last.
The target detection of IR images is important in imaging precise guidance. The effect of the edge detection determines the accuracy and result of following processing directly. So it is a key step to recognize and segment the targets accurately and quickly. Because of the low target to background contrast, blurred edge and stronger noise in the infrared images, the traditional linear methods cannot get better processing result for they cannot compress the noise effectively. But the soft mathematical morphology can compress the noise effectively, detect the targets better, and complete processing in real time. So it is well adapted to infrared images processing. In this paper, we employed suitable structuring system based on the soft morphology theory and threshold theory to detect the edge of actual ship infrared image. All the images processing were simulated by MATLAB software. We discussed the merits and the shortcomings of the algorithm and listed some processing results. We also compared the algorithm with other traditional edge detection operators such as Robert;Prewitt and Sobel. The simulations results demonstrate that the algorithm is better than the traditional operators and can satisfy the requirements of the IR image edges detection. So the algorithm is of importance in practicality.
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