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浏览/检索结果: 共21条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Improved interpolation with sub-pixel relocation method for strong barrel distortion 期刊论文  OAI收割 SIGNAL PROCESSING, 2023, 卷号: 203, 页码: 9 作者:     |  收藏  |  浏览/下载：18/0  |  提交时间：2023/11/17 Fisheye image correction  Interpolation  Voronoi diagram  Sub-pixel   GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer 期刊论文  OAI收割 Computers in Biology and Medicine, 2022, 卷号: 142, 页码: 1-9 作者:  Hu, Weiming;  Li C(李晨);  Li, Xiaoyan;  Rahaman, Md Mamunur;  Ma, Jiquan   |  收藏  |  浏览/下载：93/0  |  提交时间：2022/01/27 Gastric histopathology  Sub-size image  Database  Image classification   Adjacency effect correction of optical satellite image with sub-meter spatial resolution 期刊论文  OAI收割 ACTA PHYSICA SINICA, 2021, 卷号: 70 作者:  Wang Tao;  Nan, Zhou;  Yi Wei-Ning;  Hong Jin;  Liu Xiao   |  收藏  |  浏览/下载：48/0  |  提交时间：2021/08/31 adjacency effect  sub-meter satellite image  adaptive atmospheric correction  quantitative remote sensing   A Novel Unet Decoding Strategy for Cervical Cell Mass Segmentation 会议论文  OAI收割 Chengdu, China, December 10-13, 2021 作者:  Liu GQ(刘广琦);  Ding QH(丁庆海);  Li X(李翔);  Ju MR(鞠默然);  Jin TM(金天明)   |  收藏  |  浏览/下载：48/0  |  提交时间：2022/03/15 medical image segmentation  cervical cell  Unet  Sub-pixel convolution  Transpose convolution   Detecting Densely Distributed Graph Patterns for Fine-Grained Image Categorization 期刊论文  OAI收割 ieee transactions on image processing, 2016, 卷号: 25, 期号: 2, 页码: 553-565 作者:  Zhang, Luming;  Yang, Yang;  Wang, Meng;  Hong, Richang;  Nie, Liqiang 收藏  |  浏览/下载：38/0  |  提交时间：2016/11/08 Fine-grained  sub-category  graphlet matching  image kernel  dense graph mining   MRF Based Text Binarization in Complex Images using Stroke Feature 会议论文  OAI收割 France, 2015.8.23-2015.8.26 作者:  Wang Yanna;  Shi Cunzhao;  Wang Chunheng;  Xiao Baihua   |  收藏  |  浏览/下载：25/0  |  提交时间：2016/10/13 Binarization  Text Image  Stroke  Sub-image  Weight  Mrf   Antiringing image deblurring approach using frequency domain relative error 期刊论文  OAI收割 JOURNAL OF ELECTRONIC IMAGING, 2014, 卷号: 23, 期号: 1 作者:  Li, Zhihui;  Peng, Silong;  Hu, Xiyuan;  Xu, Xiaojing 收藏  |  浏览/下载：37/0  |  提交时间：2015/08/12 image deblurring  relative error in frequency domain  weighted sub-band  ringing artifacts   Image coding using wavelet-based compressive sampling (EI CONFERENCE) 会议论文  OAI收割 2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012, October 28, 2012 - October 29, 2012, Hangzhou, China 作者:  Li J.;  Li J.;  Li J. 收藏  |  浏览/下载：45/0  |  提交时间：2013/03/25 In this paper  we proposed a novel coding scheme is proposed using wavelet-based CS framework for nature image. First  two-dimension discrete wavelet transform (DWT) is applied to a nature image for sparse representation. After multi-scale DWT  the low-frequency sub-band and high-frequency sub-bands are re-sampled separately. According to the statistical dependences among DWT coefficients  we allocate different measurements to low- and high-frequency component. Then  the measurements samples can be quantized. The quantize samples are entropy coded and forward correct coding (FEC). Finally  the compressed streams are transmitted. At the decoder  one can simply reconstruct the image via l1 minimization. Experimental results show that the proposed wavelet-based CS scheme achieves better compression performance against the relevant existing solutions.   A Sub-pixel Centroid Algorithm for Star Image Based on Gaussian Distribution 期刊论文  OAI收割 transactions of the japan society for aeronautical and space sciences, 2011, 卷号: 53, 期号: 182, 页码: 307-310 作者:  Sun, Jing;  Li, Guangrui;  Wen, Desheng;  Xue, Bin;  Yang, Shaodong 收藏  |  浏览/下载：23/0  |  提交时间：2011/09/30 Sub-pixel Centroid Algorithm  Gaussian PSF  Star Image Processing  CCD Camera   Precise motion compensation based on weighted sub-pixel image matching (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 Liang H. G. 收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25 This paper proposed a sub-pixel image correlation algorithm that can get more Precise result  its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image  the relativity of correspond location where match best with template will be most high  and in its neighbour range  the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy  the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one  we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper  some experiment data be proposed  it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.