机构

• 上海营养与健康研究所 [2]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2017 [2]
• 2015 [1]
• 2010 [1]

学科主题

• Materials ... [2]
• Microscopy [2]

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 浮游藻类细胞显微明场图像与荧光同步测量图像配准方法研究 期刊论文  OAI收割 中国激光, 2022, 卷号: 49 作者:  贾仁庆;  殷高方;  赵南京;  徐敏;  胡翔   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/11/10 bio-optics  phytoplankton  bright field image  fluorescence image  image registration  mutual information  生物光学  浮游植物  明场图像  荧光图像  图像配准  互信息   Segmenting Microscopy Images of Multi-Well Plates Based on Image Contrast 期刊论文  OAI收割 MICROSCOPY AND MICROANALYSIS, 2017, 卷号: 23, 期号: 5, 页码: 932-937 作者:  Chen, Weiyang;  Li, Weiwei;  Dong, Xiangjun;  Liao, Bo;  Flavel, Matthew   |  收藏  |  浏览/下载：13/0  |  提交时间：2020/12/09 microscopy image  uneven illumination  bright field  multi-well plate  image segmentation   Segmenting Microscopy Images of Multi-Well Plates Based on Image Contrast 期刊论文  OAI收割 MICROSCOPY AND MICROANALYSIS, 2017, 卷号: 23, 期号: 5, 页码: 932-937 作者:  Chen, Weiyang;  Li, Weiwei;  Dong, Xiangjun;  Liao, Bo;  Flavel, Matthew   |  收藏  |  浏览/下载：16/0  |  提交时间：2020/12/09 microscopy image  uneven illumination  bright field  multi-well plate  image segmentation   A Novel and Effective Surface Flaw Inspection Instrument for Large-Aperture Optical Elements 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 卷号: 64, 期号: 9, 页码: 2530-2540 作者:  Tao, Xian;  Zhang, Zhengtao;  Zhang, Feng;  Xu, De 收藏  |  浏览/下载：64/0  |  提交时间：2015/09/23 Bright-field imaging system (BFIS)  dark-field imaging system (DFIS)  flaw inspection  image processing  large-aperture optical element  measurement  path planning   A nonlinear image enhancement algorithm based on partial differential equations (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China Han X.; Jian Z. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 Image enhancement and image de-noising have being the important research contents of image academic and engineering field  and the partial differential equations have been widely applied to computer vision. The paper applies the thoughts of partial differential equations  puts forward a new improved method of image enhancement. This method can enhance not only the dark images but also the bright images  making the details hidden in the dark background and the bright background very clear. The application scope is wider  and the visual effect is better. This paper uses the finite difference method to discrete the partial differential equations  and combines with the heat equation. It calculates simple  runs fast  and provides a guarantee for real-time video image enhancement processing. 2010 IEEE.