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	The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE) 会议论文 OAI收割 2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：39/0 \| 提交时间：2013/03/25 Mammary gland is composed entirely of soft tissue with approximate density therefore mammary gland CR medicine radiation image presents a low contrast and slight difference changes may be a manifestation of tumor so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise due to image details lost aiming at the defects a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio moreover CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.
	An adaptive enhancement means adapt to CR medicine image (EI CONFERENCE) 会议论文 OAI收割 International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 It puts forward CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value. Experiment results demonstrate that the algorithm enhances CR image detail and the value of DV/BV was higher than the other algorithms moreover CR image enhanced has good visual effect the method is fit for edge detail enhancement of CR medicine radiation image. 2010 SPIE.
	Cr image enhancement based on human visual characteristics (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China Zhang M.-H.; Zhang Y.-Y. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 The characteristic of digital CR medicine radiation image has wide dynamic range abundant details and bad contrast so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property which is more sensitive to smooth area noise compared with detail area noise and makes image edge detail enhancement great in detail area and detail enhancement little in smooth area in which factor K is based on space change of image domain accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.
	A new early stopping algorithm for improving neural network generalization (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China 作者: Liu J.-G.; Wu X.-X. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 As generalization ability of neural network was restricted by overfitting problem in the network's training. Early stopping algorithm based on fuzzy clustering was put forward to solve this problem in this paper. Subtractive clustering and Fuzzy C-Means clustering (FCM) were combined to realize optimal division of training set validation set and test set. How to realize this algorithm in backpropagation (BP) network by utilizing neural network toolbox and fuzzy logic toolbox in MATLAB was dwelled on. Early stopping algorithm based on fuzzy clustering and other early stopping algorithms were applied in function approximation and pattern recognition problems in validation experiments. Experiments results indicate that early stopping algorithm based on fuzzy clustering has higher precision in comparison to other early stopping algorithms. Outputs of training set validation set and test set are more accordant. 2009 IEEE.
	Stochastic video signal's automatic identification and image reproduction (EI CONFERENCE) 会议论文 OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China Mingxiu L.; Guangliang H. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In order to realize the automatic extraction of stochastic signal's horizontal synchronization frequency and the stable reproduction of video image different image features of horizontal synchronization blanking signal under different deviation are analyzed and spectrum analysis algorithm of horizontal synchronization frequency texture feature extraction algorithm of slope image and phase feature extraction algorithm of drifting image are put forward. Based on the three algorithms the hierarchical automatic recognition algorithm is put forward to automatically control the adjusting of the horizontal synchronization frequency and realize the reproduction. The algorithm was applied in the automatic interception system of computer video leaking information and quick interception and stable reproduction of computer video leaking information were achieved. 2007 IEEE.
	A practical software platform of integrated reconstruction algorithms and forward algorithms for 2D industrial CT 期刊论文 OAI收割 JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2005, 卷号: 13, 期号: 1, 页码: 9-21 作者: Li, Hui; Zhang, Zhaotian; Tian, Jie 收藏 \| 浏览/下载：21/0 \| 提交时间：2015/11/06 reconstruction algorithms forward algorithms industrial CT imaging data preprocess