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An Image Edge Detection Algorithm Based on Improved Wavelet Transform
Xumin Liu,Zilong Duan,Xiaojun Wang,Weixiang Xu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.4
In this paper, for wavelet modulus maxima edge detection affected by noise largely, we propose an improved image fusion algorithm. Firstly, wavelet denoising and smoothing filter are conducted on the original image. Secondly, making edge detection with wavelet transform modulus maxima edge detection and improved canny edge detection get each of edge detection images. Thirdly, let the wavelet fusion follow some certain fusion rules. Finally, making the inverse wavelet transform reconstruct the fused image. The experimental results show that the fused image combines the advantages of edge detection methods, which is an effective image edge detection method.
Vector Quantization Method Based on Satellite Cloud Image
Xumin Liu,Zilong Duan,Xue Yang,Weixiang Xu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11
Automatic vectorization in the field of image processing and recognition is one of development direction. This paper does some relevant researches on satellite cloud image preprocessing, image segmentation, image vector quantization. To improve the effect of noise reduction and preserving image details, this paper puts forward an improved adaptive median filter algorithm; For increasing the speed of image segmentation, this paper puts forward automatic layering algorithm combined with color information. Finally, this paper puts forward automatic vector quantization algorithm based on satellite cloud images and we developed an automatic vector quantization prototype system of satellite cloud images. The research results suggest that our automatic vector quantization algorithm has satellite cloud information automatic extraction function, identification function and vector quantization function.
Research on 3D Visualization Method of Seismic Data
Xumin Liu,Dawei Li,Yongxiu Xu,Weixiang Xu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
3D visualization is an important link in seismic data processing and interpretation, and the development of the microcomputer system of 3d visualization software for seismic data is very necessary. This paper uses MFC (Microsoft Programming Interface) and VTK (Visualization Toolkit) building three-dimensional scene, realizing the 3d seismic data field Visualization display system and determining the projection window according to characteristics of the seismic data field which is a regular three-dimensional spatial data field. In this paper, we apply the 3d visualization technology to the field of seismic data processing, use the improved light projected volume rendering method to directly render 3d seismic data and displaying the 3d seismic data to users in the form of three-dimensional interpretation, greatly improve the efficiency and accuracy of seismic interpretation, at the same time, also can provide a powerful conditions for further data interpretation and analysis.
A Research about Adaptive Subdivision Algorithm Based On Doo-Sabin Mode
Xumin Liu,Yongxiu Xu,Xianpeng Yang,Xiaojun Wang 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.2
Subdivision surface method is a series of iterative operation adopts a certain subdivision formula for an initial grid, obtains the smooth limits surface finally, and can dispose any arbitrary complex topology grid. At present most of the subdivision algorithm are 1-4 subdivisions and as the number of subdivision increase, the grid grow so too-rapid in the number of patch that it is difficult for the model after subdivision to deal with other things. We proposed an adaptive Doo-Sabin Mode subdivision algorithm to solve this problem, which take the average vector of the vertex and the angle between the intersecting surfaces of the vertex as a measurement criterion. This criterion is used to divide the surface, and then make local subdivision. In this way, when the times of subdivision are fewer (the demand of smoothness is not too high), the effect of subdivision has little difference, but efficiency of the algorithm can be greatly improved. Compared with the normal Doo-Sabin subdivision model, experimental results showed that adaptive Doo-Sabin subdivision algorithm can largely slow the growth speed of the amount of model data on the premise that guarantee the quality of surface.
Research on the Flame Simulation Method Based on the Particle System
Xumin Liu,Zilong Duan,Dawei Qian,Xiaojun Wang 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12
In reality, flame is a common fluid scene. In this paper, we simulated flame by using improved particle system and detail the properties and changes of particles in the model. We realized a realistic color change and dynamic flickering flame characteristics. We used texture mapping method to render the flame and used the hierarchical programming structure to provide a simple and practical interactive flame simulation. We also designed and implemented demonstration system of flame simulation. Experiments show that using the flame image generated in this paper can not only satisfy the visual effect but also meet the real-time requirements.
Improved Computing Method of Mutual Information in Medical Image Registration
Xumin Liu,Zilong Duan,Weixiang Xu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.4
Mutual information based medical image registration is one of the most common registration method in registration domain currently. This paper studies the mutual information of the calculation process for mutual information calculation speed is slow, low efficiency of registration, registration can not meet real-time requirements, an improved gray compression algorithm, by reducing the gray-scale of images to improve image the registration efficiency and gradient similarity combined with mutual information as a new registration measure, so that the registration in improving efficiency while meeting the requirement of registration accuracy. The comparative experiments this article made show that, under the premise of registration accuracy to ensure that the method can significantly improve the speed of image registration.