In the microscopic image detection, the image quality is the key factors for accuracy of measurement. Owing to the
different material and uneven surface of work pieces, different regions of the work piece have a different response to
light intensity in imaging. In order to obtain complete information of detection of objects, it is necessary to expand the
dynamic range of microscopic images. A new design of micro-detection system based on high dynamic range imaging
technology is proposed. The hardware of our system mainly includes computer system, light intensity control system and
micro-imaging system equipped with a digital CCD image sensor. The effective synthesis algorithm for high dynamic
range image based the quantity of information of image is also proposed. In our algorithm, the images are divided into to
many layers levels by the laplacian pyramid algorithm and the weight of each layer is determined according to the grads
and entropy of image, then the laplacian pyramid inverse algorithm is applied to obtain a high dynamic range image. The
detail features in both areas with high and low illumination of the view can be increased. The experiments have shown
that the entropy and definition of composite image is better than each images of different exposure. Therefore, the
method we propose can effectively improve the resolution of the microscopic images and the accuracy of detection.
The burst strongly flashing event taking place in space such as strong explosion in low air is very random in time and
position, and its duration time is very short. In this paper, a photoelectric measuring device, namely, 2D angle localizer
for measuring 2D angle of a burst strongly flashing object appearing in place randomly has been presented. It mainly
includes detecting head with narrow slot, cylinder silicon photoelectric receiver, absolute photoelectric encoder and
computer. It can complete the measurement of 2D information, namely, the azimuth angle and pitching angle of the
center position of a spatial flashing object. The principle of measuring angle and basic structure of measuring angle
device are introduced. The critical parts of the device are briefly described. A contrast experiment of measuring the sun's
2D angle by 2D angle localizer and theodolite was made. The measuring results and accuracy analysis have been given.
Due to being equipped with variable gain amplifiers and three silicon photoelectric accepters with cylinder surface, the
2D angle localizer has the characteristics of Wide dynamic measurement range and omnidirectional angle measurement.
The measuring accuracy of 2D angle localizer is more than 2mil and the act of measuring can be finished in 0.5s.
The bacteriological microscopic examination of sputum smear for tuberculosis is the most important means of diagnosis
and experiments for tuberculosis. Through micro-imaging systems, machine vision systems, digital image processing
and computer pattern recognition technology, dynamic intelligent recognition and counting of TB-DNA could be realized.
However, the dynamic range of CCD image sensor is limited. The information of TB-DNA could not be fully recorded on
microscopic image. In this paper, an effective method to extend the image dynamic range through merging multiple
exposure images is proposed. The microscopic images of the same scene with different exposure are taken by rotating
the disk-shaped optical grads attenuator that installed under the objective lens of microscopic system to control the
illumination. These different exposure images are processed firstly to get irradiance response function of the imaging
system, and then the high dynamic range microscopic image (HDRMI) could be obtained. Through the mapping
algorithm the dynamic range of HDRMI is compressed in order to been displayed on the general display devices, which
not only highlight the feature information of bacillus but also maintain the overall contrast of original microscopic
image. The method proposed can effectively express the image information of the bright areas and dark areas in the
scenes and enhance the image details and color characteristics. The quality of micro-imaging systems is improved. It is
proved that the method proposed in the paper can enhance the resolution and stability of the TB image recognition
through the experiment.
Using 3-D topography measurement of microelectronics Substrate as a background, the mechanism and method of accurately measured mechanical quantity through Moire stripe is studied. The paper also discusses the acquisition of Moire interference fringe image information, the analysis and process of Moire stripe image and key technological problems of how to reconstruct 3-D surface topography through Moire stripe information. This study provides non contact, high-speed and high-accuracy measurement techniques not only for microelectronics substrate but also for other information products (like shadow mask). It can be foreseen that this method has broad applications and theoretical instructions in engineering area.
Warpage measurement of PWB board and BGA package is considered as the most popular but difficult issue in microelectronic fabrication. Ordinary measuring method cannot afford the requirement of direct observation, efficiency, immediacy, high-precision as well as low cost. Moire fringe is a kind of interference pattern by which we are able to measure the flatness of surface of an object. This paper mainly concentrates on how to extract the information of effective shadow moire fringes by using digital image processing technique. It presents some algorithms applied to moire fringe image processing, such as preliminary extraction algorithm of moire fringes, intensity enhancing algorithm of fringe, fringe thinning algorithm, removal of the forficate fringe etc. In the end, the three-dimensional image from data of the two-dimensional fringe matrix has been drawn. Experiment result shows the effect of methods for extracting effective moire fringes.
The problem of stabilization of the image sequence from a camera mounted on a moving platform such as airborne reconnaissance is considerably more complex. Motion composed of not only translation but also rotation is a very common. For the long focus, long-range imaging system, to estimate and compensate rotation movement between the frames is very important. Through analyzing the effect of rotation on the quality of video sequence, the paper proposes an effective algorithm applied to the rotation and translation movement estimation. This algorithm is composed of three parts: Firstly, the image is divided to many regions and make sure that every pixel motion in each region is uniform; Secondly, the translations vector of each region are obtained by representative point matching technique. Finally the globe motion vectors (include translation and rotation) between the reference frame and the current frames is obtained by solution of a set of linear equations which come form a given affine motion model.
Compensation method of motion among the frames is also an important factor to affect the stability of image sequence. If the image sequence is compensated directly with the acquired movement vectors, it will feel the jumping among frames. In the paper, the parameters to compensate for the current image have be determined by average value filtering and been applied to given motion model to stabilize the image stream. It can realize smoothly processing to assure the image sequences stabilization.