机构

• 西安光学精密机械研究... [4]
• 长春光学精密机械与物... [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

• 2017 [2]
• 2016 [1]
• 2014 [1]
• 2006 [1]

学科主题

• Optics [1]
• chemical o... [1]
• optical in... [1]
• vision [1]

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 Fast polarimetric dehazing method for visibility enhancement in HSI colour space 期刊论文  OAI收割 JOURNAL OF OPTICS, 2017, 卷号: 19, 期号: 9 作者:  Zhang, Wenfei;  Liang, Jian;  Ren, Liyong;  Ju, Haijuan;  Bai, Zhaofeng   |  收藏  |  浏览/下载：47/0  |  提交时间：2017/09/19 Polarimetric Imaging  Visibility And Imaging  Image Enhancement  Imaging Through Turbid Media   Study of visibility enhancement of hazy images based on dark channel prior in polarimetric imaging 期刊论文  OAI收割 optik, 2017, 卷号: 130, 页码: 123-130 作者:  Zhang, Wenfei;  Liang, Jian;  Ju, Haijuan;  Ren, Liyong;  Qu, Enshi 收藏  |  浏览/下载：71/0  |  提交时间：2016/12/21 Image enhancement  Polarimetric imaging  Scattering  Visibility and imaging   A robust haze-removal scheme in polarimetric dehazing imaging based on automatic identification of sky region 期刊论文  OAI收割 optics and laser technology, 2016, 卷号: 86, 页码: 145-151 作者:  Zhang, Wenfei;  Liang, Jian;  Ju, Haijuan;  Ren, Liyong;  Qu, Enshi 收藏  |  浏览/下载：33/0  |  提交时间：2016/10/14 Imaging through turbid media  Image enhancement  Polarimetric imaging  Visibility and imaging   Resolution and visibility of two-color pseudothermal lensless ghost imaging 期刊论文  OAI收割 optik, 2014, 卷号: 125, 期号: 16, 页码: 4452-4455 作者:  Xue, Yu-Lang;  Wan, Ren-Gang;  Feng, Fei;  Zhang, Tong-Yi 收藏  |  浏览/下载：28/0  |  提交时间：2015/03/13 Two-color lensiess ghost imaging  Pseudothermal light source  Resolution and visibility   Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文  OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.