The influence of an evanescent field formed by two evanescent waves under the total internal reflection on the dynamics of motion of separate erythrocyte into blood plasma is demonstrated. Computer simulation of red blood cell motion into evanescent field and experimental demonstration of rotational and rectilinear motion expand the possibilities of using optical evanescent waves in applied tasks of nanophysics and biomedicine. The vertical spin produced by the illumination of a cell by the linearly polarized wave with the azimuth of polarization 45º demonstrates unique ability to control transverse motion of the nanoobject that is not characterized to the action of spin momentum inherent to the classical circular polarized optical beam.
Quartz crystal chip discussed in this paper is a semitransparent crystal with thickness of 0.1~0.2 mm. Generally these chips are packaged into one block with 100 or 200 pieces. Mostly, the counting job is accomplished by weighing the chips, however, thickness difference of each crystal will lead to the inaccurate counting results. A new counting method with imaging and signal processing is proposed in this paper. At first, the edge images of crystal are acquired, thus edge information will be turned into edge signals, then the signal will be enhanced, the noise will be decreased. At last the accurate amount will be get from these edge signals. This method has good practical value because of contact less, high efficiencies and high accuracy.
Quartz crystal in oscillator is the basic element in modern electronic technology. The main specification of crystal is frequency, but the surface defect will also affect the stability and working life. At present, the defect inspection of crystal is mostly accomplished with human vision inspection. A new crystal defect inspection method with machine vision is proposed in this paper. The crystal image is acquired with special angle annular dark field illumination. The relationship between the physical feature and the vision feature are discussed. Then, defect inspect algorithm of each kind of defect are designed based those relationship. A large amount of inspection experiments are executed with this algorithm, the results indicate that this method has good practical value because of high efficiencies and high accuracy.
High dynamic range imaging (HDRI) has become a topic of intense research interest in many fields. One kind of HDRI system based on the spatial light modulator (SLM) has a problem with output image instability because of feedback modulation. The HDRI system is introduced, and then a feedback modulation model for the HDRI system is established to discuss the oscillation reason for the output images. The relationship between the input light intensity and the feedback progress is analyzed. A method that adjusts the modulate index of the SLM is proposed to solve the instability problem, and the stability conditions are given to obtain stable images. Lastly, experimental images prove that the feedback model is correct and the output image with high dynamic range is stable.
When car run in highway during night, need switch on its headlight, for intensity of the light is very high, it will cause
glare vision, the camera of monitoring system will be saturation, and all the other detail (For example: License plate)
can't be shown on the screen except headlight and its glare. In this paper, introduce a new system and method of glare
protection on highway nighttime monitoring, it can decrease the intensity of headlight and the glare vision in real-time,
so the monitoring system could gain more details of highway from camera. The whole system's hardware is made up of
outer camera-lens, inner camera-lens, spatial light modulator array and image sensor. The outer camera-lens images the
objects (cars on highway) on the plane of the spatial light modulator array's panel. So, the spatial light modulator array
can modulate part of the image on its panel, such as decrease or increase transmission ratio (or reflect ratio). The inner
camera-lens images the spatial light modulator array's panel to the image sensor. So, the image on the image sensor is the
image of object image after modulated. After the image sensor gained the image, we will use our software to analyze the
image, use real-time processing to get the saturation and glared region. Firstly, we use threshold arithmetic to get the
saturation and high intensive pixels of the image; secondly, we use filter to get ride of the noise made from threshold
arithmetic, so we can get the region of saturation and glare region of the original image; thirdly, we do expand arithmetic
at the direction of car's moving, and feedback the image to spatial light modulator. If we don't use expand arithmetic at
the direction of car's moving, and feedback the image gained after step 2, for the car in highway is moving very fast,
after the time of image processing, the car has moved to a new location with it's direction, so the feedback image will not
decrease the light intensity of the car's headlight and it's glare region properly. For these three processes are decreasing
the intensity of the image region, we called it negative feedback. At same time, we do positive feedback to increase the
transmission ratio (or reflect ratio) at the low light intensity region, so that more details of the object will be imaging on
image sensor. In fact, the image feedback on the spatial light modulator array is the composite of the negative feedback
and positive feedback. In experiment, the spatial light modulator array is liquid crystal on silicon (LCoS), all image
processing is on computer, the feedback image transfers via DVI bus. For the limit of operation system, the feedback
time is about 100ms.
The graduator is a very important standard device in the optical angular measuring instrument, which determines the
measure precision of the measuring instrument. A new graduator test method is discussed in this paper.
This test method is a dual dynamic imaging measurement method with dual digital microscope system, which acquires
the images of the graduator rotated by a rotating motor.
Here is the introduction of this method with more detail. At first, fix a graduator to be measured on a rotary stage, this
stage will be driven by a high precision programmable motor. Make the stage rotate with a constant angular velocity ω.
Then place the digital microscope system upon the graduator. The digital microscope system includes two digital
microscopes, which placed in the opposite diameter direction. Each digital microscope is made up of optical lens and a
CMOS electro-ocular. The sampling frequency f can be set in the control software of the elector-ocular. The two digital
microscopes make up a dual dynamic image acquire system. This system can acquire two images of the moving
graduator at the same time with the sampling frequency f. Then, a serial of the graduator images can be acquired after a
period of rotation, and there is a constant angular difference ω/f between every adjacent image. Each image of the
graduator includes several graduation lines, identify these lines and get the position of the lines with image processing
method. The measuring value of the rotate angle can be calculated from the adjacent line positions. Use the angular
difference ω/f as a standard value of the rotate angle. Compare the measuring value and the standard value with the
"comparing method of graduator measurement" formula. A compare result will be given to judge the graduator is good or
not at last.
The whole system is divided into four functional units: 1,the motion control unit;2,the dual dynamic imaging unit; 3, the
image processing unit; 4,the data analysis unit.
The measurement principle is introduced in the first part of the paper. In this part, the background of graduator
measurement and the theories of graduator measurement are referred. According to the measurement principle a system
design is made in the second part of the paper. In this part, the whole measure system is described: the structure of the
system, the function of each component and the specifications for the key components. An experiment system is build up
under the design, and some measurement data is obtained, the error analyses of the measure data is given at the last of
Image compounded technology is often used on film and its facture. In common, image compounded use image
processing arithmetic, get useful object, details, background or some other things from the images firstly, then
compounding all these information into one image. When using this method, the film system needs a powerful processor,
for the process function is very complex, we get the compounded image for a few time delay. In this paper, we introduce
a new method of image real-time compounded, use this method, we can do image composite at the same time with movie
shot. The whole system is made up of two camera-lens, spatial light modulator array and image sensor. In system, the
spatial light modulator could be liquid crystal display (LCD), liquid crystal on silicon (LCoS), thin film transistor liquid
crystal display (TFTLCD), Deformable Micro-mirror Device (DMD), and so on. Firstly, one camera-lens images the
object on the spatial light modulator's panel, we call this camera-lens as first image lens. Secondly, we output an image
to the panel of spatial light modulator. Then, the image of the object and image that output by spatial light modulator will
be spatial compounded on the panel of spatial light modulator. Thirdly, the other camera-lens images the compounded
image to the image sensor, and we call this camera-lens as second image lens. After these three steps, we will gain the
compound images by image sensor. For the spatial light modulator could output the image continuously, then the image
will be compounding continuously too, and the compounding procedure is completed in real-time. When using this
method to compounding image, if we will put real object into invented background, we can output the invented
background scene on the spatial light modulator, and the real object will be imaged by first image lens. Then, we get the
compounded images by image sensor in real time. The same way, if we will put real background to an invented object,
we can output the invented object on the spatial light modulator and the real background will be imaged by first image
lens. Then, we can also get the compounded images by image sensor real time. Commonly, most spatial light modulator
only can do modulate light intensity, so we can only do compounding BW images if use only one panel which without
color filter. If we will get colorful compounded image, we need use the system like three spatial light modulator panel
projection. In the paper, the system's optical system framework we will give out. In all experiment, the spatial light
modulator used liquid crystal on silicon (LCoS). At the end of the paper, some original pictures and compounded pictures
will be given on it. Although the system has a few shortcomings, we can conclude that, using this system to
compounding images has no delay to do mathematic compounding process, it is a really real time images compounding
Optical low pass filter (OLPF) made of artificial crystal is demonstrated. From the view of 1-D, 2-D, 3-D crystal’s filter
and gratings filter, the design of relative parameters and the influence of processing are discussed..