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Study of Image Information Technology Based on PRIC Theory

Author: JiChangAn
Tutor: ZhangXiuBin
School: Shanghai Jiaotong University
Course: Power Electronics and Power Drives
Keywords: PRIC Theory Image Information Fuzzy Weighting Sparse Matrix Identification and tracking Image Guidance Terminal Guidance Automatic Homing
CLC: TP391.41
Type: PhD thesis
Year: 2006
Downloads: 83
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The dissertation take good advantage of PRIC(Pattern Recognition and Intelligent Control)technology, which realize machine directly perceiving the external environment and make intelligent reflection. Its content involves information science, computer, control theory, fuzzy mathematics and so on. The whole disquisition study rapid target identification and tracking under the complex background based on the image information identification and apply into military domain.Many effective image recognition algorithms and technologies are described in the article, based on a variety of basic theory and practical skills. Especially, the image matching based on fuzzy weight under complex background which uses histogram characteristics, introduces the weight mathematical concept to show importance degree in the total volume, and gives different progression. And putting forward in correlation, the high weight of the gray values matches first, then deal with the scene image using the weighted template to obtain sparse binary matrix, then simplifies the correlation operation multiplication as the sparse matrix addition.The image matching based on fuzzy weight has not only reduced the operand, but inherited the correlation operation anti-jamming to the noise pollution. Simultaneously the introduction of fuzzy weighting has overcome the weighting template method which is easy to create matching fault to the slight environment brightness change. And fuzzy weighting algorithm proceeds than gradation threshold and edge detection in NMI characteristic value calculation, and has good robustness.In order to strengthen the usability of recognition and matching, while the article produces the calculation of fuzzy weighting NMI characteristic, it also propose a novel practical method of compound image recognition matching algorithm which takes the fuzzy weight as the junction. On the one hand, it reduces the gradation match computation quantity, and on the other hand, it also provides an effective method to seek the NMI characteristic.Aimed at the background of question for discussion, the thesis introduces the practicality algorithm and technique of PRIC used in terminal guidance homing adopted by control and guiding weapon system. The normally used methods to match images these years are MAD, CF, CCF, etc. However, all these classical characteristic space dimensions have their own limitations to be used under complicated background situations. In order to gain high matching-rate, this paper advances a multidimensional decision-making with composed fuzzy method to match images. This method can be used to make matching more accurately with little operation cost added, so as to promote the research in this area into practical techniques with a great step. Through a large numbers of experiment and testing in complex circumstance, such as variable pitch recognition, approaching, and blocking, approve that the series algorithms are excellent practical and effective.Lastly, as image information technology based on PRIC theory development research, the paper pay attention to acquisition the image information, and take morphology image processing and binocular measuring technique as the important measure to realize the 3D configuration. In the article, image information software platform to improve the identification of image terminal guidance weapon has primarily composed.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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