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长春光学精密机械与物... [3]
西安交通大学 [1]
山东大学 [1]
沈阳自动化研究所 [1]
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会议论文 [5]
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Employment of the appropriate range of sawtooth-shaped-function illumination intensity to improve the image quality
期刊论文
OPTIK, 2018, 卷号: 175, 页码: 189-196
作者:
Yu, Jianping
;
Li, Gang
;
Wang, Shaohui
;
Lin, Ling
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
Light intensity range
Sawtooth-shaped-Function
Gray-scale resolution
Medical image quality
Signal-to-noise ratio
A line mapping based automatic registration algorithm of infrared and visible images
会议论文
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ai R(艾锐)
;
Shi ZL(史泽林)
;
Xu DJ(徐德江)
;
Zhang CS(张程硕)
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  |  
浏览/下载:24/0
  |  
提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.
CCD evaluation for estimating measurement precision in lateral shearing interferometry
会议论文
作者:
Liu Bingcai
;
Li Bing
;
Tian Ailing
;
Li Baopeng
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/10
gray scale
shearing interferometry
pixel resolution
simulation
A novel miniature absolute metal rotary encoder based on Single-track Periodic Gray Code (EI CONFERENCE)
会议论文
2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012, December 8, 2012 - December 10, 2012, Harbin, Heilongjiang, China
Wan Q.-H.
;
Wang Y.-Y.
;
Sun Y.
;
Yang S.-W.
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  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
In order to improve the resolution and enhance the impact resistance and vibration resistance of encoders
a novel absolute metal rotary encoder based on Single-track Periodic Gray Code is presented. The configuration and working principle of the encoder is introduced
and then the metal code disc which can realize full scale absolute encoding on one single track and its corresponding metal slit disc are proposed. Finally
the data acquisition and processing system based on FPGA of encoder is presented. The resolution of the encoder can reach 5.27through electronic subdivision and calibration between the precision code and the coarse code with its volume only 4840mm. The encoder has some advantages such as small volume
low cost
high resolution and strong impact resistance. 2012 IEEE.
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE)
会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.
;
Wang M.-J.
;
Han G.-L.
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浏览/下载:34/0
  |  
提交时间:2013/03/25
Being an efficient method of information fusion
image fusion has been used in many fields such as machine vision
medical diagnosis
military applications and remote sensing.In this paper
Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing
including segmentation
target recognition et al.
and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First
the two original images are decomposed by wavelet transform. Then
based on the PCNN
a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength
so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So
the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment
the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range
which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore
by this algorithm
the threshold adjusting constant is estimated by appointed iteration number. Furthermore
In order to sufficient reflect order of the firing time
the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved
each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules
the experiments upon Multi-focus image are done. Moreover
comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
High resolution gray-scale modulation method based on linear superposition for LED displays (EI CONFERENCE)
会议论文
2011 International Conference on Control, Automation and Systems Engineering, CASE 2011, July 30, 2011 - July 31, 2011, Singapore, Singapore
Feng Y.
;
Xu X.
;
Miao C.
;
Ding T.
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  |  
浏览/下载:10/0
  |  
提交时间:2013/03/25
This paper proceeds a new method for gray-scale modulation
has a deep research on weighted linear superposition principle of pulse width sequences
builds a basic equation of scanning drive
analyzes constraint relations between compound modes of pulse sequences and gray-scale resolution
pixel driving efficiency
data shifting clock and refresh rate
etc and optimal methods
and lists parameter optimal values in different scanning ways according to real needs of LED displays
resulting in realization of gray-scale modulation in 14bit to 18 bit resolution. 2011 IEEE.
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