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CAS IR Grid
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长春光学精密机械与物... [7]
沈阳自动化研究所 [2]
数学与系统科学研究院 [1]
光电技术研究所 [1]
中国科学院大学 [1]
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Adaptive quasi-Monte Carlo method for uncertainty evaluation in centroid measurement of planetary rovers
期刊论文
OAI收割
Transactions of the Institute of Measurement and Control, 2021, 卷号: 43, 期号: 3, 页码: 623-634
作者:
Na Q(那强)
;
Hu SR(胡淑荣)
;
Tao JG(陶建国)
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收藏
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浏览/下载:45/0
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提交时间:2020/09/26
Uncertainty evaluation
adaptive quasi-Monte Carlo method
Monte Carlo method
planetary rover
centroid measurement
Optimum parameters of image preprocessing method for Shack-Hartmann wavefront sensor in different SNR condition
会议论文
OAI收割
Nanjing, PEOPLES R CHINANanjing, PEOPLES R CHINA, OCT 24-26, 2017OCT 24-26, 2017
作者:
Wei, Ping
;
Li, Xinyang
;
Luo, Xi
;
Li, Jianfeng
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收藏
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浏览/下载:53/0
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提交时间:2019/08/23
SH-WFS
centroid method
SNR
Thresholding method
Windowing method
A shape context based Hausdorff similarity measure in image matching
会议论文
OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ma TL(马天磊)
;
Liu YP(刘云鹏)
;
Shi ZL(史泽林)
;
Yin J(尹健)
收藏
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浏览/下载:39/0
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提交时间:2013/12/26
The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Dong Y.-X.
;
Zhang H.-B.
;
Li Y.
;
Li Y.
;
Li Y.
收藏
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浏览/下载:112/0
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提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system
the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms
such as adaptive background prediction detecting method. When background has dispersion-decreasing structure
the traditional target detection algorithms would be more useful. But when the background has large gray gradient
such as sea-sky-line
sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature
in our opinion
from the perspective of mathematics
the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis
the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection
its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore
the purpose of the image preprocessing is to reduce the effects from noise
also to raise the SNR of image
and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics
the median filter is used to eliminate noise
improve signal-to-noise ratio
then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line
so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Study on medical X-ray coherent scatter imaging and processing based digital flat detector (EI CONFERENCE)
会议论文
OAI收割
3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, October 16, 2010 - October 18, 2010, Yantai, China
作者:
Li B.
;
Zhao J.
;
Li B.
;
Li B.
;
Liu J.
收藏
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浏览/下载:32/0
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提交时间:2013/03/25
It is introduced a novel imaging technique for medical diagnostic X-ray coherent scatter in this paper. A set of experimental equipment for X-ray coherent scatter imaging was set up with X-ray digital flat detector and medical diagnostic X-ray source. According to this equipment
the scatter images obtained are made of some circles with the same center. It is vital to calculate the energy template to classify the different samples. It is difficult to separate them using the traditional threshold method due to noise and overlapped shadow. In this paper
the image was transformed a binary image by using K-Means algorithm and Mathematical Morphology Methods. The effective region was extracted from the binary image inside the orthogonal energy projection space
then to calculate the centroid of rings. Consequently the curve of the energy distribution was built. The experiment results show that our method is reasonable and feasible. The technique will have wide foreground of application .Besides the imaging of human bone content
it can be used for various imaging of tissue and organs in biology. 2010 IEEE.
Research on automatic Hartmann test of membrane mirror (EI CONFERENCE)
会议论文
OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China
作者:
Zhang P.
收藏
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浏览/下载:36/0
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提交时间:2013/03/25
Electrostatic membrane mirror is ultra-lightweight and easy to acquire a large diameter comparing with traditional optical elements
so its development and usage is the trend of future large mirrors. In order to research the control method of the static stretching membrane mirror
the surface configuration must be tested. However
membrane mirror's shape is always changed by variable voltages on the electrodes
and the optical properties of membrane materials using in our experiment are poor
so it is difficult to test membrane mirror by interferometer and null compensator method. To solve this problem
an automatic optical test procedure for membrane mirror is designed based on Hartmann screen method. The optical path includes point light source
CCD camera
splitter and diffuse transmittance screen. The spots' positions on the diffuse transmittance screen are pictured by CCD camera connected with computer
and image segmentation and centroid solving is auto processed. The CCD camera's lens distortion is measured
and fixing coefficients are given to eliminate the spots' positions recording error caused by lens distortion. To process the low sampling Hartmann test results
Zernike polynomial fitting method is applied to smooth the wave front. So low frequency error of the membrane mirror can be measured then. Errors affecting the test accuracy are also analyzed in this paper. The method proposed in this paper provides a reference for surface shape detection in membrane mirror research. 2010 Copyright SPIE - The International Society for Optical Engineering.
High accuracy star image locating and imaging calibration for star sensor technology (EI CONFERENCE)
会议论文
OAI收割
6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
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浏览/下载:23/0
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提交时间:2013/03/25
Today aircraft attitude measurement technology plays an important role in an aircraft system because it can provide orientation for aircraft in action. Lately star sensor technology used in aircraft attitude measurement has become more and more popular because of its high accuracy
light weight
without attitude accumulation errors and other advantages. There are three main steps for star sensor to measure aircraft attitude
star image locating
star identification and attitude tracking. The latter two steps are based on the accuracy of star image locating. So it's critical to make efforts to advance the accuracy of star image locating. Some imaging errors
such as spherical aberration or coma aberration
also have negative effect on the accuracy of star image locating
of which the effect is necessarily reduced as well. At the beginning of this article
the structure of star sensor hardware is introduced. Secondly three methods for star image locating are described specifically
which are traditional centroid method
Gauss quadric fitting method and improved Gauss quadric fitting method. Subsequently an imaging calibration method is described for the purpose of reducing the effect of imaging errors. Finally the experiment shows that the accuracy of the star sensor is 2-arc-second. 2010 SPIE.
Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Xue X.-C.
收藏
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浏览/下载:35/0
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提交时间:2013/03/25
Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper
in view of the low-flying target near the sea is always above the sea-level line
we can first locate the sea-level line
and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed
and the executive time of target segmentation is also much reduced. A new method is proposed
which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR
and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line
lastly uses the centroid tracking algorithm to detect and track the target. In the experiment
high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast
and eliminate the negative impact of the clutter caused by waves and clouds
and capture and track target real-timely and accurately.
Active pixel sensor geometrical characteristic effects on star image subdivided locating accuracy for star tracker (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
作者:
Liu J.
;
Liu J.
;
Liu J.
;
Li J.
;
Li J.
收藏
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浏览/下载:28/0
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提交时间:2013/03/25
Active pixel sensor (APS) star tracker becomes an investigated hotspot because of its technical advantages. And centroid algorithm is a subpixel method proper to star position calculation because of its high accuracy and simplicity. When centroid algorithm is applied on APS star tracker
APS pixel geometrical characteristics might effect on star image position accuracy. Because the amplifier circuit and other function circuits inter pixel of APS take up some pixel area
the Fill Factor is less than 100%. Moreover
the active sensitive area has a certain geometrical shape
such as square
rectangle and L shape. The Fill Factor of pixel influences on star image subdivided locating accuracy when using centioid algorithm. In this paper
we have analyzed all pixel geometrical characteristics influence on the star position accuracy. From simulation experiments
we can conclude that Fill factor and pixel geometric shape influence on star position accuracy. The star locating error increased when Fill Factor decreased
and different geometrical shape of active sensitive area of pixel can make different influence on star location accuracy
the symmetrical sensitive area in x or y axis have symmetrical location error in the same axis.
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
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浏览/下载:37/0
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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
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