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长春光学精密机械与... [44]
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会议论文 [44]
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内容类型:会议论文
专题:长春光学精密机械与物理研究所
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Mathematical modeling and simulating of microscan for area CCD
会议论文
2013 2nd International Conference on Sensors, Measurement and lntelligent Materials, ICSMIM 2013, November 16, 2013 - November 17, 2013, Guangzhou, China
Li Y. P.
;
He B.
;
Sha W.
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2015/04/27
A novel Design measuring Method based on linearly polarized laser interference
会议论文
5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013, June 25, 2013 - June 27, 2013, Beijing, China, June 25, 2013 - June 27, 2013
Cao Y.
;
Ai H.
;
Zhao N.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2014/05/15
Centroid localization algorithm based on bicubic interpolation gray square weighted
会议论文
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
Zhou J.
;
Chen X.-L.
;
Li S.-J.
;
Huang D.-Y.
;
Ma G.-Z.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2014/05/15
Centroid localization algorithm based on bicubic interpolation gray square weighted (EI CONFERENCE)
会议论文
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
Zhou J.
;
Chen X.-L.
;
Li S.-J.
;
Huang D.-Y.
;
Ma G.-Z.
收藏
  |  
浏览/下载:142/0
  |  
提交时间:2013/03/25
The 3D coordinates of measured point is embodied in 2D image coordinate of the optical characteristic point via the visual measurement system. Based on the gray square weighted centroid localization algorithm
the paper presents bicubic interpolation gray square weighted centroid localization algorithm
increases the number of effective pixels around the optical characteristic point imaging center
and reduces noise error via the gray square weighted
improves the imaging center location accuracy of optical characteristic point
realizes the accurate location of the optical characteristic points. Results indicate application of the proposed algorithm to location
the standard tolerance along the direction of x is 0.0022 Pixel
the standard tolerance along the direction of y is 0.0023 Pixel
compared with the others
the standard tolerance is minimum and discrete to a lesser degree distancing ideal image point
that is
the proposed algorithm has higher location accuracy. The maximum tolerance along the direction of x is 0.008 Pixel
the one along the direction of y is 0.007 Pixel
compared with the other two algorithms
the maximum tolerance is minimum.Results indicate that the stability of the proposed algorithm is better. (2013) Trans Tech Publications
Switzerland.
LIDAR based terrain slope detection on fractal based lunar surface modeling
会议论文
2013 4th International Conference on Intelligent Control and Information Processing, ICICIP 2013, June 9, 2013 - June 11, 2013, Beijing, China
Jiang X.
;
Sun X.
;
Han C.
;
Li X.
;
Zhao Y.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2014/05/15
The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE)
会议论文
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.
;
Zhang Y.-Y.
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  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
Mammary gland is composed entirely of soft tissue with approximate density
therefore mammary gland CR medicine radiation image presents a low contrast
and slight difference changes may be a manifestation of tumor
so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise
due to image details lost
aiming at the defects
a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio
moreover
CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.
Image quality assessment based on complex representation of structure information (EI CONFERENCE)
会议论文
2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China
Wang Y.
;
Zhao X.
;
Mo X.
;
Wang Y.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE
PSNR
and SSIM. 2012 Springer-Verlag London Limited.
Color filtering method for CFA images based on gradient (EI CONFERENCE)
会议论文
International Conference on Communication Systems and Network Technologies, CSNT 2012, May 11, 2012 - May 13, 2012, Rajkot, Gujrat, India
Sun H.
;
Wang Y.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values
three color is R(red)
G(green) and B(blue). To render a full-color image
need an interpolation process commonly referred to as CFA demosaicking
is required to estimate the other two contributions for producing a full-color image. But
the noise in imaging sensors not only corrupts the color filter array
at the same time introduces artifacts during the color interpolation step and influence quality of images. In order to acquire high quality full-color images
adopt a sort of viable and effective interpolation algorithm based on gradient
at the time of removing the noise
reserve image border and detail information clearly. 2012 IEEE.
Image matching using a bat algorithm with mutation (EI CONFERENCE)
会议论文
2012 International Conference on Mechatronic Systems and Automation Systems, MSAS 2012, July 21, 2012 - July 21, 2012, Wuhan, China
Zhang J.
;
Wang G.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
Due to shortcoming of traditional image matching for computing the fitness for every pixel in the searching space
a new bat algorithm with mutation (BAM) is proposed to solve image matching problem
and a modification is applied to mutate between bats during the process of the new solutions updating. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BA. The realization procedure for this improved meta-heuristic approach BAM is also presented. To prove the performance of this proposed meta-heuristic method
BAM is compared with BA and other population-based optimization methods
DE and SGA. The experiment shows that the proposed approach is more effective and feasible in image matching than the other model. (2012) Trans Tech Publications
Switzerland.
Eight-neighborhood based background modeling (EI CONFERENCE)
会议论文
2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012, August 24, 2012 - August 26, 2012, Xi'an, Shaan, China
Yan L.
;
Ming D.
;
Lei J.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2013/03/25
In order to solve the Gaussian kernel density-based background modeling
we propose a background modeling method based on an 8-neighborhood pixels sample set. In this method
we use the target pixel and its surrounding 8-neighborhood pixels to analyze whether it is included in the background or in the foreground sample space. Experimental results show that the method can judge the object as the background interference caused by the cyclical movement. By practical verification
the algorithm of the background modeling can full meet the requirements of the target detection algorithm. (2012) Trans Tech Publications
Switzerland.
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