中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	A novel automatic enhancement method for optical remotely sensed image 期刊论文 OAI收割 Journal of Northwest University. Natural Science Edition, 2016, 卷号: 46, 期号: 3, 页码: 448-452 作者: Liu Xinyan; Liu Jiahang; Yan Junping \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2016/10/21 Histogram Optimization Contrast Stretch Definition Enhancement Vision Effect Improvement Self-adaptive Enhancement
	Anchoring Group Effects of Surface Ligands on Magnetic Properties of Fe304 Nanoparticles: Towards High Performance MRI Contrast Agents 期刊论文 OAI收割 ADVANCED MATERIALS, 2014, 卷号: 26, 期号: 17, 页码: 2694-2698 作者: Zeng, Jianfeng; Jing, Lihong; Hou, Yi; Jiao, Mingxia; Qiao, Ruirui \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2019/04/09 Anchoring Group Peg Ligand Fe3o4 Nanoparticle Mri Contrast Enhancement Effect
	Anchoring Group Effects of Surface Ligands on Magnetic Properties of Fe304 Nanoparticles: Towards High Performance MRI Contrast Agents 期刊论文 OAI收割 ADVANCED MATERIALS, 2014, 卷号: 26, 期号: 17, 页码: 2694-2698 作者: Zeng, Jianfeng; Jing, Lihong; Hou, Yi; Jiao, Mingxia; Qiao, Ruirui 收藏 \| 浏览/下载：28/0 \| 提交时间：2015/06/24 anchoring group PEG ligand Fe3O4 nanoparticle MRI contrast enhancement effect
	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：34/0 \| 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.
	The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia Ming-Hui Z.; Yao-Yu Z. 收藏 \| 浏览/下载：62/0 \| 提交时间：2013/03/25 Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast powerful computer disposal function little radiation dosage non-film diagnosis different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc. can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details aiming at the defects an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications Switzerland.
	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：28/0 \| 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.