中国科学院机构知识库网格系统: 检索

"Plagioclase solution degree index": a new index to evaluate the weathering degree of granite 期刊论文 OAI收割
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2014, 卷号: 73, 期号: 2, 页码: 589-594
作者: Hu, Ruilin; Oyediran, Ibrahim A.; Gao, Wei; Zhang, Xiaoyan; Li, H.

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收藏 | 浏览/下载：18/0 | 提交时间：2018/09/26

Granite weathering Weathering index Completely decomposed granite Microstructural image processing system

"Plagioclase solution degree index": a new index to evaluate the weathering degree of granite 期刊论文 OAI收割
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2014, 卷号: 73, 期号: 2, 页码: 589-594
作者: Hu, Ruilin; Oyediran, Ibrahim A.; Gao, Wei; Zhang, Xiaoyan; Li, H.

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收藏 | 浏览/下载：19/0 | 提交时间：2018/09/26

Granite weathering Weathering index Completely decomposed granite Microstructural image processing system

A method for obtaining scattering decomposed images in optical coherence tomography 期刊论文 OAI收割
j. opt., 2014, 卷号: 16, 期号: 7, 页码: 75302
作者: Guo, Xin; Wang, Xiangzhao; Bu, Peng; Nan, Nan; Li, Zhongliang

收藏 | 浏览/下载：24/0 | 提交时间：2016/11/28

optical coherence tomography decomposed image multiple scattering

A method for obtaining scattering decomposed images in optical coherence tomography 期刊论文 OAI收割
j. opt., 2014, 卷号: 16, 期号: 7, 页码: 75302
作者: Guo, Xin; Wang, Xiangzhao; Bu, Peng; Nan, Nan; Li, Zhongliang

收藏 | 浏览/下载：16/0 | 提交时间：2016/11/28

optical coherence tomography decomposed image multiple scattering

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：73/0 | 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.

A new image fusion algorithm based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
作者: He X.; Zhang Y.; Zhang L.-G.; Zhang L.-G.

收藏 | 浏览/下载：13/0 | 提交时间：2013/03/25

A new image fusion algorithm based on lifting wavelet transform is presented in this paper. The source images are decomposed using lifting wavelet transform respectively. Aiming at the coefficients of low frequency and high frequency this algorithm choose a different rule to fuse the image. To the low frequency the spatial frequency based on the neighborhood add consistency check is elected as the fusion guide. And the absolute maximum based on detail coefficients is selected as the guide to the high frequency. After that the fused image is obtained by using inverse lifting wavelet transform. Taking the ratio space frequency error and the mean gradient as criterions experimental results demonstrate that the algorithm is very effective. 2010 IEEE.

Wavelet-based contourlet coding using SPECK algorithm (EI CONFERENCE) 会议论文 OAI收割
2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China
Xiu-Wei T.; Xi-Feng Z.; Tie-Fu D.

收藏 | 浏览/下载：55/0 | 提交时间：2013/03/25

We proposed a new still image compression algorithm called CSPECK witch was constructed by the wavelet-based contourlet transform (WBCT) and set partitioning embedded block coding (SPECK). In the WBCT the high frequency sub-band decomposed by the wavelet transform was further decomposed into multiple directional sub-bands by directional filter bank so as to explain the edge and texture of the image more sparsely. The SPECK algorithm exhibits lower complexity and more efficient compression ratio than SPIHT based on WBCT. Experimental results demonstrate that the proposed method is efficient in coding images that possess mostly textures and contours. The simulation results also show that this new coding algorithm increases the PSNR over CSPIHT. 2008 IEEE.

High speed, low memory image coding using zero blocks of wavelet coefficients (EI CONFERENCE) 会议论文 OAI收割
4th International Conference on Image and Graphics, ICIG 2007, August 22, 2007 - August 24, 2007, Chengdu, China
作者: Zhang T.; Yang W.-G.

收藏 | 浏览/下载：31/0 | 提交时间：2013/03/25

We propose a new high speed low memory SPECK image coder based on the form of block-unit states called LBUS-SPECK which uses the form of block-unit states and the form of block exponents to substitute LIS and LSP of SPECK. A form of block-unit states is introduced to store the significance flag of coefficients and the value of the block-unit exponents. A form of block exponents is introduced to store the block exponents which are used to represent the max coefficient in a decomposed block. A new block depth-finding strategy is developed for searching insignificant sets at sorting stage. Experimental results show that the obtained PSNR values for the decoded images are very close to those of SPECK algorithm and the memory consumption is reduced by 9 times the encoding timing is saved about 15%. Comparing with SPECK algorithm this algorithm not only has better performance of the decoded images but also is easy to implement especially it provides an efficient way for hardware implementation of wavelet embedded block coding. 2007 IEEE.

Study of removing striping noise in CCD image (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者: Liu H.; Liu H.; Liu H.

收藏 | 浏览/下载：16/0 | 提交时间：2013/03/25

Striping noise is the common system noise during formation of image using linear array CCD and has the character of periodicity directivity and banding distributing. It can be caused by errors in internal calibration devices or by slight gain/offset differences among the elements that conform the array of detectors. Striping noise covers up useful information in CCD image and brings adverse effect to image interpretation. On the basis of analyzing wavelet decomposed coefficient the regularities of distribution about striping noise in wavelet coefficient is found thereby the method of wavelet threshold selection which is suitable to striping noise distribution is put forward. According to Donoho's method about denoising using wavelet the image including striping noise is processed. Comparing the power spectrum of processed image with the one of original image polluted by striping noise in frequency field we find pulse brought by striping noise is removed and the goal which reserves image details and reduces stripes is achieved.

A SVM-based classifier with shape and motion features for a pedestrian detection system 会议论文 OAI收割
IEEE Intelligent Vehicles Symposium, Meguroku, JAPAN, JUN 13-15, 2006
作者: Chen, D.; Cao, X. B.; Xu, Y. X.

收藏 | 浏览/下载：19/0 | 提交时间：2017/01/13

image classification / image motion analysis / object detection / support vector machines / traffic engineering computing / SVM-based classifier / decomposed SVM algorithm / motion features / pedestrian detection system / shape features