The multi-axis consistency among optical sensors is the basic guarantee to ensure the normal operation of the entire optical equipment. In the paper the new method which is image processing technology for non-cooperative target is provided to solve the axis consistency testing question. In detail, firstly an observing object is chosen as non-cooperative target in scene in front of inspected equipment. Secondly the target is observed by the optical sensor and the central location of crosshair in image is recorded. Thirdly the same target is observed again using another optical sensor and the central location of crosshair in image is record. At last, the testing result of two optical sensors can be obtained by the position deviation of crosshair central comparing two images. The axis consistency of mechanical axis and the optical axis is detected by the CCD imaging systems, which held on the mechanical axis of the measured object. Not only the proposed method is suitable to different working band, but also it is very small, not limited by field condition and convenient for carry. Furthermore experimental results show the proposed method has high inspecting accuracy, which explain the feasibility and potential applications.
Image fusion can integrate several images of the same scene captured by several different sensors with different features
and resolutions at different time into one image. Research on quality assessment of fusion images is meaningful for
image processing course in order to improve the registration technology and fusion algorithm. Structural similarity
metric describes differences between two images by means of three variables, luminance, contrast, and spatial similarity,
which show the better evaluating capability than others objective metrics. A new assessment method to fusion effect
based on structural similarity comparison among fusion images is provided in paper. Fusion algorithms including
weighing method, principal component analysis, different pyramid methods and multi-resolution wavelet filtering is used
to create fusion images. Then the mutual structural similarity metric among fusion images obtained by different fusion
algorithms is used to evaluate the fusion effect. In some extent, the low structural similarity comparison denotes the low
quality fusion effect. Meanwhile, the experiment show also the fusion effect determined by structural similarity
comparison is accordant with the subjective evaluation. Besides, the experiment explain the method based on different
pyramid methods and multi-resolution wavelet filtering have the better fusion effect than weighing method and principal
component analysis method. Furthermore, the experiment also prove the whole image fusion system should choose the
different fusion algorithm to adjust to the different task requirement and applied circumstance in order to acquire the
optimum scene interpreting effect.
Electro-optical testing device is the important technical means to guarantee the operation efficiency of laser range
equipment in complex battle environment. Several important indexes must be tested to ensure the good operation of
pulse laser range equipment, such as the collimation of optical axes, the maximal measuring distance, laser emitting
energy, resolution capability, and laser spot quality. A new kind of testing device is provided in paper. On the one hand,
delay simulating space distance by computer and quasi-laser is used in the term of testing electrical parameters. The
testing method is to collimate the emitted laser beam and disperse the beam into a photometric sphere. Then, emit with a
regulated temporal delay a new beam into the receiver module of the laser range finder, which can realize automatic, fast
and non-disassembly testing to electrical parameters. On the other hand, a new kind of infrared-detecting transforming
device based on up-conversion effect is used in the term of testing laser spot characteristics, which can realize the
capturing of laser spot in real-time to the pulse laser range finder and high-frequency pulse laser measuring range system.
Applications show the testing device is automatically and quickly for many kinds of laser range finder, which has the
characteristics of compact structure, portability, high reliability, which is especially suitable to the application under field
operations.
Optical correlator technologies play the important role in image processing systems, such as Vander Lugt correlator and
Joint Transform Correlator. Compared with traditional computer image processing techniques, optical correlation system
have an inherent capability for parallel processing, which can transmit rapidly mass information. Meanwhile, it changes
the complex images processing problem into spot recognizing in output plane. As a kind of important image recognizing
tool, JTC can be built easily in lab. Abundant research results show the correlation peak of joint transform correlator
should be a sharp circle spot when input the same target picture and reference picture. However, experimental result
shows the Characteristics of input target influences the intensity distribution of correlation peak in the paper. A group of
correlation peak is obtained which is different distribution in the vertical direction and horizontal direction when change
length-width ratio of rectangles which is used as the target picture and reference picture. Furthermore, the experimental
result proves the distribution of correlation peak change continuously with the different characteristics of rectangle.
Under the special condition in experiment course, length-width ratio of correlation peak will climb up to 3.8 when
length-width ratio of two input rectangle is 30 to 1. The possible cause is analyzed in paper. According to the above
results, more strict identifying condition must be adopted in correlation peak recognition in order to avoid the occurrence
of misjudgment.
With numerous hi-tech applications in photoelectric equipment, Single optical sensor has no capacity enough to shoulder
those complex war-field tasks. Different photoelectric sensors have to cooperate effectively each other in order to exert
effectively their own function. Therefore, how to test the
multi-optical axis collimating aberration among each optical
sensor is the fundamental precondition to guarantee the effective cooperation of each optical sensor. A new type
automatic testing device is provided in the paper, which chooses the reflecting type parallel collimator as optical system.
Design the paraboloidal lens as the primary mirror and the hyperboloidal lens as the secondary mirror not only guarantee
the important index of resolving power but also shorten the length of collimator. Furthermore, design the laser spot
collection set based on up-conversion effect of rare-earth material to satisfy the testing need between visible light axis
and laser axis, which can capture effectively laser spot. Finally, design also a shift light set to meet the need of the
practical distance between two axes of photoelectric equipment, which cover the shortage of the narrow caliber of
parallel collimator. The merit of automatic testing device of multi-optical axis collimating aberration is prominent, such
as excellent mobile capacity to meet the in-field condition, higher automatic degree to meet the different user and the
broad applying field to meet different photoelectric equipment.
The recognition algorithm based on geometry texture character includes pattern matching, estimation function, and
determination tree. The advantage of above algorithms is easy to be programmed and realized by computer. However,
the recognizing operation consumes the mass of system source, which lead to the difficult to assure the good recognizing
accuracy under the high recognizing speed. Optical correlation processing system transmits information by photons and
operates by photo-electronic device, and realizes the target recognition by optical refraction, interference, and diffraction.
Compared with traditional computer image processing techniques, optical correlation system offer primarily two types of
benefits. On the one hand, optical correlation systems have an inherent capability for parallel processing, which can
transmit rapidly mass information. On the other hand, it changes the complex images processing problem into spot
recognizing in output plane. The correlation peak of high gray value appeared in the correlation plane can be used to the
proof to tell target from many kinds noises. The analysis in paper to how to make the complex matching filter, how to
determinate the truly correlation peak from others signal in correlation plane rely on neural nets technology could be
helpful to the study of optical correlation system used to the field of image recognition.
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