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	Least-squares reverse time migration with wavefield decomposition based on the Poynting vector 期刊论文 OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 卷号: 64, 期号: 2, 页码: 645-655 作者: Wang XiaoYi; Zhang JiangJie; Xu HongQiao; Tian BaoQing \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2021/10/09 Poynting vector Wavefield decomposition Gradient operator Least-squares reverse time migration
	Stochastic proximal quasi-Newton methods for non-convex composite optimization 期刊论文 OAI收割 OPTIMIZATION METHODS & SOFTWARE, 2019, 卷号: 34, 期号: 5, 页码: 922-948 作者: Wang, Xiaoyu; Wang, Xiao; Yuan, Ya-xiang \| 收藏 \| 浏览/下载：69/0 \| 提交时间：2020/01/10 Non-convex composite optimization Polyak-Lojasiewicz (PL) inequality stochastic gradient stochastic variance reduction gradient symmetric rank one method rank one proximity operator complexity bound
	Research of Image Sharpness Assessment Algorithm for Autofocus 会议论文 OAI收割 Xiamen, China, 2019-07-05 作者: Her, Lilin; Yang, Xiaojun \| 收藏 \| 浏览/下载：44/0 \| 提交时间：2020/05/28 sharpness evaluation function autofocus gradient operator brenner algorithm
	Error Analysis of Stochastic Gradient Descent Ranking 期刊论文 OAI收割 ieee transactions on cybernetics, 2013, 卷号: 43, 期号: 3, 页码: 898-909 作者: Chen, Hong; Tang, Yi; Li, Luoqing; Yuan, Yuan; Li, Xuelong 收藏 \| 浏览/下载：42/0 \| 提交时间：2015/06/03 Error analysis integral operator ranking reproducing kernel Hilbert space sampling operator stochastic gradient descent
	Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Wu Z.-G.; Wang M.-J.; Han G.-L. 收藏 \| 浏览/下载：78/0 \| 提交时间：2013/03/25 Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
	An adaptive edge detection method based on Canny operator (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Civil Engineering and Building Materials, CEBM 2011, July 29, 2011 - July 31, 2011, Kunming, China 作者: Chen Y. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 This paper proposes an adaptive Canny operator edge detection algorithm. The proposed method can automatically set the threshold value according to the different image gray-scale gradient histogram adaptively and improve the performance in the detail edge detection and good localization. Experiments show that this method produces better edge detection results performance than the Otsu method. Besides our method Roberts operator Prewitt operator Sobel operator Log operator and Canny operator based on Otsu algorithm are also tested for comparisons. (2011) Trans Tech Publications Switzerland.
	A study of automation recognition of bridge in SAR image (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者: Zhang L.-P. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 According to river and bridge features in SAR (Synthetic Aperture Radar SAR) image as well as the position relationship between bridge and river the automatic recognition method of bridge is presented. First the gradient of an image is calculated by gradient operator in order to get the gradient image and river region is segmented by Fisher criterion. Then a doubtful bridge region is extracted by morphology method and segmented by Fisher criterion. Finally the bridge is recognized according to the features. Experimental results show that this method can automatically and rapidly recognize bridge. 2010 IEEE.
	Self-adaptive threshold canny operator in color image edge detection (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Luo T.; Zheng X.-F.; Ding T.-F. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 It needs to set the two thresholds of classical Canny Operator manually which confined this algorithm. A lot of research on adaptive thresholds choice method has been done to conquer this shortcoming. Based on the gradient histogram which is studied constantly in the past a method of gradient histogram difference diagram with adaptive image classification techniques is proposed in this paper. It automatically sets the two thresholds and avoids disconnected or false edges in detection. Experiments prove that the method is threshold-adaptive and the edge detection performs well in color image whose larger gradient amplitude pixels are mainly located in the edges between the target and background. 2009 IEEE.
	A New Adaptive Lifting Scheme and Its Applying to Fault Current Denoising 会议论文 OAI收割 7th World Congress on Intelligent Control and Automation, Chongqing, China, June 25-27, 2008 作者: Hu W(胡为); Hu JT(胡静涛) 收藏 \| 浏览/下载：24/0 \| 提交时间：2012/06/06 adaptive lifting wavelet predicting operator gradient denoising