With the application development of CIMS, enterprises have the more need of the CAQ systems during the
process of flexibility and automation. Based the means of computer-based vision technology, Automated Visual
Inspection (AVI) is a non-contact measurement mean synthesizing the technologies such as image processing,
precision measurement. The particles real-time measurement system is the system which analyzes the target image
obtained by the computer vision system and gets the useful measure information. In accordance with existing prior
knowledge, the user can timely take some measures to reduce the floating ash. According to the analysis of the
particle images, this paper researches the image high-pass filter means, Gradient arithmetic, with characteristics of
images. In order to get rid of the interference of background and enhance the edge lines of particles, it uses the two
directions kernel to process the images. This Spatial high-pass filtering algorithm also helps to conduct the ensuing
image processing to obtain useful information of floating ash particles.
In recent years, Vacuum Fluorescent Display (VFD) module in the car audio panel has been widely used.
However, due to process reasons, VFD display production process will produce defects, not only affect the
appearance, but also affect the display correctly. So building a car VFD display panel defect detection system is of
great significance. Machine vision technology is introduced into the automotive VFD display defect detection in
order to achieve fast and accurate detection of defects. Shaped light mode is a typical flaw detection mode which is
based on characteristics of vehicle VFD panel. According to the image features, learning of the gray matching and
feature matching method, we integrated use of feature matching method and the gray level matching method to
achieve defect detection.
This automobile radio panel measurement system can monitor the quality of automobile radio panel's VFD and LCD characters through making different parts' image templates with some image processing techniques. The previous system only powers the panel and measures the quality of the panel by eyes. This system takes the place of previous system and realizes the monitoring system's flexibility. In order to improve the system's stability, this paper analyses the characteristics of different partitions of VFD and LCD panel by some experiments and put forward an image processing method by synthesizing several image processing techniques.
With the applied computer vision technology, the boot of automobile shaft is measured real-timely under a high rotation speed and high temperature condition, and an extraction method of pixel-level object profile curve is introduced. Besides, the radial dilation of the boot is obtained accurately through averaging several measurement results on a basis of pixel-level edge. During the test course, the boot not only dilates in radial direction but also deforms in axial direction. According to the characteristic of the measurement object variation, this paper presents a modification algorithm, which processes departure in segments along the X coordinate, to reduce the measurement deviation from deformation in axial direction, and the measurement accuracy of the boot profile dimension is improved.