机构

• 地理科学与资源研究所 [2]
• 长春光学精密机械与物... [2]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• SCI/SSCI论文 [1]
• 期刊论文 [1]

发表日期

• 2009 [1]
• 2008 [2]
• 2006 [1]

学科主题

• Biodiversi... [1]

筛选

浏览/检索结果: 共4条，第1-4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 Algorithm of image enhancement based on order morphology transformation (EI CONFERENCE) 会议论文  OAI收割 2009 International Forum on Information Technology and Applications, IFITA 2009, May 15, 2009 - May 17, 2009, Chengdu, China 作者:  Liu Y.;  Liu Y.;  Liu Y. 收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25 A method based Tsallis entropy and order morphology transform for gray image enhancement is proposed in this article. The order morphology transform method improves the evaluation guide of transform  and chose the percentile value and structure B value by the Maximum Tsallis entropy of the area where the coefficient q is 0.8  enhances the gray image. Experiments show that the method enhances the image contrast and suppressing noise and extracting edge. The histogram and gray value show that the image contrast is improved. 2009 IEEE.   Empirical modeling and appraising of saving society: The case of China SCI/SSCI论文  OAI收割 2008 作者:  Shen L. 收藏  |  浏览/下载：16/0  |  提交时间：2012/06/08 saving society  Saving society evaluating system  method of  entropy-value  saving development index  saving coordination index   Empirical modeling and appraising of saving society: The case of China 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2008, 卷号: 8, 期号: 3, 页码: 316-326 作者:  Liu, Xiaojie;  Shen, Lei(沈镭) 收藏  |  浏览/下载：207/34  |  提交时间：2011/06/10 saving society  Saving society evaluating system  method of entropy-value  saving development index  saving coordination index   An edge extracting method of fuzzy thresholding value (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Gu R.; Zhu M. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 This paper discusses image's object edge extracting of threshold value. First  this paper introduces fundamental principle of gray image object edge extracting  after discussing the influence of object edge image's gray scale distributing characteristic and choice of threshold value to character extracting and target identification  we bring forward a sort of method  which using object edge fuzzy taxonomy and maximum fuzzy entropy theory to auto choose threshold value in the case that membership function is given  then we have a test of threshold value segmentation to edge gray image in different contrast  the result indicates this method has preferable scene adaptive faculty.