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	Nonlinear Imaging Detection of Organ Fibrosis in Minute Samples for Early Stage Utilizing Dual-Channel Two-Photon and Second-Harmonic Excitation 期刊论文 OAI收割 BIOSENSORS-BASEL, 2025, 卷号: 15, 期号: 6, 页码: 16 作者: Yu, Bo-Song; Cheng, Qing-Di; Liu, Yi-Zhou; Zhang, Rui; Li, Da-Wei \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2025/08/20 nonlinear imaging two-photon excitation second harmonic generation fibrosis
	Non-line-of-Sight Imaging via Neural Transient Fields 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 7, 页码: 2314-2328 作者: Zhong, Zhao; Yang, Zichen; Deng, Boyang; Yan, Junjie; Wu, Wei \| 收藏 \| 浏览/下载：66/0 \| 提交时间：2021/08/15 Transient analysis Image reconstruction Imaging Nonlinear optics Measurement by laser beam Surface reconstruction Solid modeling Computational photography non-line-of-sight imaging neural radiance field neural rendering
	Different interaction modes for the default mode network revealed by resting state functional magnetic resonance imaging 期刊论文 OAI收割 EUROPEAN JOURNAL OF NEUROSCIENCE, 2016, 卷号: 43, 期号: 1, 页码: 78-88 作者: Zuo, Nianming; Song, Ming; Fan, Lingzhong; Eickhoff, Simon B.; Jiang, Tianzi 收藏 \| 浏览/下载：23/0 \| 提交时间：2016/03/19 default mode network functional magnetic resonance imaging human linear nonlinear
	An improved infrared image enhancement algorithm based on multi-scale decomposition 会议论文 OAI收割 International Symposium on Optoelectronic Technology and Application 2014, Beijing, China, May 13-15, 2014 作者: Zhang HH(张红辉); Luo HB(罗海波); Yu XR(余新荣); Ding QH(丁庆海) 收藏 \| 浏览/下载：60/0 \| 提交时间：2014/12/29 infrared imaging multi-scale nonlinear amplification image enhancement
	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：42/0 \| 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.
	The geometric distortions correction of uncooled large-sized relative aperture infrared imaging system (EI CONFERENCE) 会议论文 OAI收割 Infrared Components and their Applications, November 8, 2004 - November 11, 2004, Beijing, China 作者: Sun Q. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 The geometric distortion of infrared image which was created by the large-sized relative aperture optical system. It could be corrected by the digital image processing technology. The magnitude of distortion would be enlarged quickly with the enlargement of relative aperture. Though the distortion could not impact on the articulation of the image it would affect geometric location precision of the image directly. In this paper the distortion correction of uncooled large-sized relative aperture infrared imaging system was discussed and the mathematical model of distortion correction was established. A algorithm of digital image processing was presented and applied based on control points by combining polynomial warping and space variant linear image interpolation. The method of polynomial warping was used to establish the locality relationship between the original image and the distortion ones. The space-variant linear image interpolation provided an efficient way to rebuild the frame of images. The computational costs of the proposed approach are very little and the precision is almost as high as the method of bicubic interpolation when compared to those of state-of-the-art nonlinear interpolation operators.
	基于非线性薄膜的远场超分辨光学成像研究学位论文 OAI收割作者: 丁晨良 \| 收藏 \| 浏览/下载：88/0 \| 提交时间：2018/12/26 光学成像 optical imaging 超分辨成像 super-resolution 光学非线性 nonlinear optics 装置 devices 薄膜 thin films