The diffuser ring diameter measurement is the most critical in hemagglutinin Measuring. The traditional methods,
such as a vernier caliper or high-definition scanned images are subjective and low for the measurement data reliability.
Propose high-resolution diffusion ring image for drop-resolution processing, adaptive Canny operator and local detection
method to extract complete and clear diffusion ring boundaries, and finally make use of polynomial interpolation
algorithm to make diffusion ring outer boundary pixel coordinates achieve sub-pixel accuracy and the least-squares
fitting circle algorithm to calculate the precise center of the circle and the diameter of the diffuser ring. Experimental
results show that the method detection time is only 63.61ms, which is a faster speed; diffuser ring diameter estimation
error can achieve 0.55 pixel, high stability in experimental data. This method is adapted to the various types of influenza
vaccine hemagglutinin content measurements, and has important value in the influenza vaccine quality detection.
In order to extract hemagglutinin outer contour accurately in the hemagglutinin image,
analyzes the hemagglutinin protein content by the size of detected contour, presents a regular hexagon
bar circle detection algorithm which uses regular hexagon bar detection template to detect outer
contour of the hemagglutinin. Firstly, the hemagglutinin image thresholded by using OTSU adaptive
thresholding method; and then using regular hexagon bar detection template method to rough align
hemagglutinin after thresholded, intersection of detection template and the hemagglutinin contour area
is attained, the noise near hemagglutinin contour is reduced by using the standardization relationship of
the hexagon bars, so the hemagglutinin pixels are accurately obtained; finally the hemagglutinin outer
contour information is gained by the geometric relationship of pixels, the hemagglutinin position is
achieved precisely. The experimental results show that: the contour detection error due to the density
uneven and the edge unclearly of hemagglutinin image protein is better reduced, the detection accuracy
is increased by a factor of 0.47, detection speed is increased by a factor of 0.56.The hemagglutinin
contour can be dected stablely, fastly, accurately and the is significant to the study of the hemagglutinin
protein content.
KEYWORDS: Signal to noise ratio, Image segmentation, Detection and tracking algorithms, Signal detection, Charge-coupled devices, Wavefront sensors, Error analysis, Wavefronts, Interference (communication), Image processing algorithms and systems
The accuracy of the Shack-Hartmann wavefront sensor (SHWS) for measuring the distortion wavefront is mainly dependent upon the measurement accuracy of the centroid of the focal spot. Many methods have been presented to improve the accuracy of the wavefront centroid measurement, but most of them are based on a point of improvement. Propose a complete centroid optimization method. Based on analyzing background noise of the focal spot image, the method of adaptive threshold denoising is introduced, then the sub-aperture detection windows are optimized by modified watershed algorithm, and the centroid of the focal spot is calculated by the higher moment centroid algorithm in an optimized window, where the linear interpolation have been used. Simulation and experimental results showed that the centroid detection window could automatically adjust its size, matching perfect with spot distribution area, and the proposed method could reach high precision and repeatability of focal spot centroid in some certain SNR.
With the development of electro-optical imaging system technology and simulation technology,
and the demand of optimizing the new type electro-optical imaging system theoretical model, more and
more scientific research institutes, colleges and universities research on the simulation of
electro-optical imaging system, and the better results were obtained. Simulation technology saved the
cost of system design development, meanwhile, some complex and hard to re-implement experiments
can be carried repeatedly. According to the demand of complex environment construction technology
and the requirement of imaging simulation system fidelity, considering the performance of
electro-optical imaging system, an electro-optical imaging system is modeled. The modeling has two
aspects which is scene characteristic modeling and electro-optical system modeling. Scene
characteristic modeling can construct dynamic scenes in different kinds of complex environments by
using powerful OpenGL three-dimension model visualization technology. Electro-optical system
modeling is consist of optical system and imaging detector. Electro-optical imaging system simulation
model is established with the analysis of electro-optical imaging system theory. The use of modular
design concept and general interface technology is combined. Different imaging effect is received
under different parameters by modifying the model’s related parameters. The experimental results show
that, the image produced from simulation basically reflects the performance of imaging system, so this
kind of image can be used as a information source for imaging system performance analysis. It
provides a simple and feasible method for the analysis of imaging system performance, which has a
very important practical significance.
KEYWORDS: Cameras, Calibration, Distortion, Optoelectronics, Image processing, Digital imaging, CCD cameras, Active vision, Digital image processing, 3D modeling
According to the principle of optical measurement, an effective and simple method to measure the distortion of CCD
camera and lens is presented in this paper. The method is based on computer active vision and digital image processing
technology. The radial distortion of camera lens is considered in the method, while the camera parameters such as the
pixel interval and focus of camera are calibrated. The optoelectronic theodolite is used in our experiment system. The
light spot can imaging in CCD camera from the theodolite. The position of the light spot should be changed without the
camera's rotation, while the optoelectronic theodolite rotates an angle. All view reference points in the image are worked
out by computing the angle between actual point and the optical center where the distortion can be ignored. The error
correction parameters are computed, and then the camera parameters are calibrated. The sub-pixel subdivision method is
used to improve the point detection precision in our method. The experiment result shows that our method is effective,
simple and practical.
In the space laser communication, the link of communication is builded in atmospheric random channel. the laser
transmission is affected by the atmospheric turbulence seriously. The communication laser is modulated to circular
polarized light in order to reduce the influence of the atmospheric turbulence. A several experiments are designed to
validate that the circular polarized laser is available to reduce the communication noise in the space optical
communication. The methods of the laser spot detection and spot parameter analysis is put forward in this paper: Firstly
the subtraction of the background is used in image preprocessing in order to eliminate the influence of static background,
then a series of methods such as the local dynamic threshold segmentation, edge extraction are used to detect and
recognize the spot. Finally the parameters of the spot are calculated such as spot's average brightness, background's
average brightness and the contrast gradient, and the characteristic of the laser communication is analyzed. The
experiment results show that the circular polarized laser can enhance the contrast and improve the communication
quality in the spatial optical communication. This method satisfies the request of real-time processing in communication,
and is also effective and practical. practical.
Image compression based on lossless or nearly lossless region of interest (ROI) means to lossless compress the
interesting regions and loss compress the uninteresting regions in an image. The technology both may obtain the high
quality image information and maintain the high compression ratio, which solves the contradiction between the image
quality and the image compression ratio. Applying ROI, we can compress image with different accuracy in different
region, which make the important parts of an image be coded with better quality than rest image. In the test project of the
shooting range, a great many target images will be saved, however the tester only is interested in the target region and
not interested the background information. According to the situation, a ROI compress method based on target image is
proposed in the paper. The experiment results show that the method can greatly reduce the image data storage,
meanwhile remain the target information perfectly.
The shooting range test is an important field in modern weapon development. The modern weaponry is developing towards long distance and automation directions, therefore the shooting range test is put forward new higher requirements. A novel method of target detection based on the digital image processing technology is proposed in the paper. Experiments indicate the strategy is fit to the request of the dynamic target detection and tracking in the shooting range.
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