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高提升滤波在低对比度目标相关探测中的应用 被引量:2

Application of High-boost Filtering in Low Contrast Target Correlation Detection
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摘要 光电混合联合变换器可实现对目标的实时探测、识别及自动定位,但低对比度目标的相关峰强度很弱,甚至得不到相关峰,影响了目标的识别率。利用高提升滤波处理技术和图像分割对功率谱进行增强处理,可以有效提高功率谱对比度,最大限度保留光谱图像的细节信息,提高光电联合相关系统的目标识别率。 Opto-electronic hybrid converter can be combined to achieve the target of real-time detection, identification and automarie location, but the low-contrast targets related peak intensity is very weak, or even no correlation peak, affecting the target recognition rate. Filtering to enhance the use of high-beost filtering and image segmentation of the power spectrum for the enhanced process, it can effectively improve the power spectrum of contrast, the maximum spectral images to retain the details of in- formation to enhance co-related systems photoelectric target recognition rate.
作者 赵新胜 张宇
出处 《计算机与现代化》 2010年第5期66-68,共3页 Computer and Modernization
关键词 联合变换相关器 高提升滤波 功率谱 图像增强 图像分割 joint transform eorrelator high-boost filtering power spectrum image enhancement image segmentation
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  • 1韩建栋,刘刚.采用阈值的快速边缘检测算法[J].光电工程,2005,32(11):80-83. 被引量:1
  • 2苑玮琦,张昱.纸币号码快速识别系统[J].计算机工程,2005,31(24):153-155. 被引量:14
  • 3马瑞,杨静宇.一种用于手写数字分割的滴水算法的改进[J].小型微型计算机系统,2007,28(11):2110-2112. 被引量:9
  • 4Hassanpour H, Payam M F.Using hidden Markov models for paper currency recognition original[J].Expert Systemswith Applications,2009,36(6) : 10105-10111. 被引量:1
  • 5Gao Q, Wang X, Xie G.License plate recognition based on prior knowledge[C]//Proceedings of IEEE International Conference on Automation and Logistics, Jinan, China, 2007 : 2964-2968. 被引量:1
  • 6Fanc V, Hlavac V.License plate character segmentation using hidden Markov chains[J].Lecture Notes in Com- puter Science, 2005,3663 (9) : 385-392. 被引量:1
  • 7He K X, Peng S R, Li S T.A classification method for the dirty factor of banknotes based on neural network with sine basis functions[C]//Proceedings of International Conference on Intelligent Computation Technology and Automation (ICICTA), Hunan, China, 2008 : 159-162. 被引量:1
  • 8Sun B Q,Li J L.The recognition of new and old bank- notes based on SVM[J].Intelligent Information Technology Application, 2008,157 (7) : 95-98. 被引量:1
  • 9Pal S K, King R A. On edge detection of X-ray images using fuzzy sets[J]. Pattern Analysis and Machine Intelligence, 1983(1): 69-77. 被引量:1
  • 10Pal S K, King R A. Image enhancement using fuzzy sets[J]. Electronics Letters, 1980, 16(10): 376-378. 被引量:1

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