中国科学院机构知识库网格系统: 检索

Efficient auto-refocusing for light field camera 期刊论文 OAI收割
Pattern Recognition, 2018, 期号: 81, 页码: 176-189
作者: Chi Zhang; Guangqi Hou; Zhaoxiang Zhang; Zhenan Sun; Tieniu Tan

|

收藏 | 浏览/下载：40/0 | 提交时间：2018/08/07

Auto-refocusing Detection-based Focusing Blurriness Measure Light-field Photography

基于显微视觉的微管-微球装配与胶接研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014
作者: 李福东

收藏 | 浏览/下载：66/0 | 提交时间：2015/09/02

显微相机标定自动聚焦姿态测量微胶接微装配 microscopic camera calibration auto-focusing pose measurement micro adhesive bonding microassembly

收藏 | 浏览/下载：112/0 | 提交时间：2015/09/02

集成电路显微图像自动采集自动对焦预采集/采集曲面拟合图像配准 AutoIt3 Integrated Circuit Micro-Image Auto-acquisition Auto-focusing Pre-acquisition / acquisition Surface Fitting Image Registration AutoIt3

An auto-focus algorithm of fast search based on combining rough and fine adjustment (EI CONFERENCE) 会议论文 OAI收割
3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China
作者: Zhang S.; Zhang Y.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

A coarse and fine combined fast search and auto-focusing algorithm was suggested in this paper. This method can automatically search and find the focal plane by evaluating the image definition. The Krisch operator based edge energy function was used as the big-step coarse focusing and then the wavelet transform based image definition evaluation function which is sensitivity to the variation in image definition was used to realize the small-step fine focusing in a narrow range. The un-uniform sampling function of the focusing area selection used in this method greatly reduces the workload and the required time for the data processing. The experimental results indicate that this algorithm can satisfy the requirement of the optical measure equipment for the image focusing. (2012) Trans Tech Publications.

Realization of auto-focusing system for cameras based on TMS320F2812 DSP (EI CONFERENCE) 会议论文 OAI收割
2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China
作者: Zhang T.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

Focusing systems play an important role in a variety of optical measurements and detection instruments. In this paper several kinds of auto-focusing methods were described and the relevant focusing evaluation functions were introduced based on image processing methods. An auto-focusing system based on image processing was designed by using the TMS320F2812 digital signal processing chip as a platform. Moreover some problem and solutions about auto-focusing system was demonstrated. The system designed in this paper can find the good image plane in 10 steps (about 5 second) thus it can meet the requirements of practical applications. 2011 IEEE.

Design and analysis of auto-focus assembly for spaceborne remote sensing camera (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China
作者: Chen W.; Gao X.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

Spaceborne remote sensing camera may be out of focus when the environment and photographic distance changes. In order to get higher ground sampled distance for the camera based on the experience gained from the development of a remote sensing camera working principle of auto-focus assembly control system was discussed. Time of waveform extraction was reduced. It sets force an auto-focus assembly that uses cam and line guide rail in order to move the lens group. The motion error of the auto-focus assembly was difficult to be eliminated and would affect on the focusing accuracy of the spaceborne remote sensing camera directly. So it was analyzed at both ends of the focusing structure. The CCD detector can keep stable when the remote sensing camera is imaging. The motion error was tested to verify the validity of the simulation result and it is less than 0.01mm. Its accuracy meets using demand. The focusing method of moving focal plane is suitable for spaceborne remote sensing camera. 2011 IEEE.

Auto-focusing evaluation functions in digital image system (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
作者: Gao Y.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

Evaluation function is an important item to measure the quality of images in auto-focusing systems. This paper introduces four categories of evaluation functions which are respectively based on gradient correlation statistics and transform. These functions formally differ from each other and their performances are not consistent when dealing with different images. The same function also performs different when the processed images have different characteristics. Five commonly used functions from the four categories are verified and compared under different circumstances in order to validate their performances. The result provides references for variety of selections in the practical application. 2010 IEEE.

Modeling and analysis of dialyte-lens auto-focusing technology for theodolite (EI CONFERENCE) 会议论文 OAI收割
2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, November 16, 2008 - November 19, 2008, Beijing, China
Wu L.-T.; Qiao Y.-F.; Wu D.-K.; Cai S.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

In order to realize real-time auto-focusing for theodolite lens-apart method was designed with the corresponding math model built and analyzed. An Object beam splitted after the first image surface of the theodolite traveled through two dialyte lens and then was imaged on CCD. The distance between two spots when exactly focused was set as the calibration value and the relationship between defocus distance and spot offset was given. The influence of tracking center shift and divergence angle etc. on focusing accuracy was analyzed. Compared with the traditional focusing method this scheme has a higher accuracy faster calculation higher tolerance for environment temperature and a simpler construction. The experiment result exhibited a resolution higher than 0.056mm which shows a bright engineering application prospect for this method. 2009 SPIE.

Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China
作者: Wang X.; Xu S.-Y.; Wang X.; Wang X.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode the premise doesn't exist because the scenes shot are different at any moment which brings about difficulties to the selection of the focus measure. To evaluate the image definition the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.

Auto-focusing Schemes for LAMOST Multipurpose Fiber-fed Spectrographs 会议论文 OAI收割
Chengdu, China, 2007-7-8
作者: Zhongwen Hu; Yongtian Zhu; Jianing Wang; Lei Wang; Long Li

收藏 | 浏览/下载：28/0 | 提交时间：2013/12/29

Low resolution spectrograph Auto-focusing resolution