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	图像特征的相似性度量学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2009 作者: 严望收藏 \| 浏览/下载：139/0 \| 提交时间：2015/09/02 相似性度量直方图距离核函数核子空间分析 Similarity measure Histogram distance Kernel function Kernel subspace analysis
	Basic research of the relationship between irradiation dose and volume in radiation-induced pulmonary injury 期刊论文 OAI收割 CHINESE MEDICAL JOURNAL, 2009, 卷号: 122 - \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/10/26 LUNG-CANCER CONFORMAL RADIOTHERAPY HISTOGRAM ANALYSIS PNEUMONITIS THERAPY radiation-induced pulmonary injury dose volume
	Histogram analysis of diffusion measures in clinically isolated syndromes and relapsing-remitting multiple sclerosis 期刊论文 OAI收割 EUROPEAN JOURNAL OF RADIOLOGY, 2008, 卷号: 68, 期号: 2, 页码: 328-334 作者: Yu, Chun Shui; Lin, Fu Chun; Liu, Yaou; Duan, Yunyun; Lei, Hao 收藏 \| 浏览/下载：26/0 \| 提交时间：2015/10/15 Relapsing-remitting multiple sclerosis Clinically isolated syndrome Diffusion tensor imaging Histogram analysis
	Whole brain diffusion tensor imaging histogram analysis in vascular cognitive impairment 期刊论文 OAI收割 JOURNAL OF THE NEUROLOGICAL SCIENCES, 2008, 卷号: 268, 期号: 1-2, 页码: 60-64 作者: Zhou, Yan; Lin, Fu-chun; Zhu, Jiong; Zhuang, Zhi-guo; Li, Yan-sheng 收藏 \| 浏览/下载：24/0 \| 提交时间：2015/10/13 vascular cognitive impairment diffusion tensor imaging histogram analysis apparent diffusion coefficient fractional anisotropy
	High-accuracy real-time automatic thresholding for centroid tracker (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Zhang Y. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 Many of the video image trackers today use the centroid as the tracking point. In engineering we can get several key pairs of peaks which can include the target and the background around it and use the method of Otsu to get intensity thresholds from them. According to the thresholds it give a great help for us to get a glancing size a target's centroid is computed from a binary image to reduce the processing time. Hence thresholding of gray level image to binary image is a decisive step in centroid tracking. How to choose the feat thresholds in clutter is still an intractability problem unsolved today. This paper introduces a high-accuracy real-time automatic thresholding method for centroid tracker. It works well for variety types of target tracking in clutter. The core of this method is to get the entire information contained in the histogram we can gain the binary image and get the centroid from it. To track the target so that we can compare the size of the object in the current frame with the former. If the change is little such as the number of the peaks the paper also suggests subjoining an eyeshot-window we consider the object has been tracked well. Otherwise their height just like our eyes focus on a target if the change is bigger than usual position and other properties in the histogram. Combine with this histogram analysis we will not miss it unless it is out of our eyeshot we should analyze the inflection in the histogram to find out what happened to the object. In general the impression will help us to extract the target in clutter and track it and we will wait its emergence since it has been covered. To obtain the impression what we have to do is turning the analysis into codes for the tracker to determine a feat threshold. The paper will show the steps in detail. The paper also discusses the hardware architecture which can meet the speed requirement. the paper offers a idea comes from the method of Snakes
	Multiscale differential fractal feature with application to target detection 会议论文 OAI收割 Conference on Acquisition, Tracking, and Pointing XVIII, Orlando, FL, April 14-14, 2004 作者: Shi ZL(史泽林); Wei Y(魏颖); Huang SB(黄莎白) 收藏 \| 浏览/下载：22/0 \| 提交时间：2012/06/06 image recognition target detection fractal feature gray histogram analysis