In order to improve the approach of the conventional LCD colored image display that has been using color filter, this
research is to lead a unique innovative design by using three colors bank scrolling backlight. The backlight scrolling uses
Light-Emitting-Diodes (LEDs) to replace the conventional cold cathode fluorescent lamp for fleetly light alternating
between Red, Green, and Blue. Images with bank segments can be displayed in terms of RGB colors in time series.
According to the human persistence of vision effect, a colorful image can be demonstrated. The advantages of this three
color bank scrolling can provide a cost saving because there is no color-filter of the display, resolution tripling with RGB
on the same pixel, and abundant in color saturation for the selection of dedicating wavelength LEDs color mixture.
Practically, this research contents the experiments of three color bank scrolling, a building up of the prototype for
backlight system, optics adjustment for a proper color mixture. The results of this research show the system not only
could displace the color filter but also triple the resolution. Consequently, the system is practicable and can be proposed
as a new innovation to LCD industry.
With the increased use of extra-fine-pitch (XFP) surface mounted components in electronic products, machine vision techniques for in-process inspection of solder joints during PCB assembly have become highly demanding. Existing algorithms for this purpose are mostly designed to perform inspection based on the analysis of 3D image profiles of individual solder joints. They are computation intensive and often result in expensive implementations. This work introduces a new approach solder joint inspection. With this approach, the inspection problem is considered as a task of detection textural distortions for the 2D proper-view images of a printed circuit board. A real-time texture inspection algorithm based on Fourier Series Analysis is developed to carry out the inspection. The algorithm has been implemented and tested on a PC-based vision system. The results from the tests show that the proposed technique can perform practical PCB inspection successfully. This suggest that real-time and in-process inspection of XFP solder joints may be carried out by a low cost PC-based vision system. In this paper, the principles of Fourier Series Analysis are discussed and the proposed algorithm described. The usefulness of the algorithm in texture inspection in general, and PCB inspection in particular is investigated. The performances of the proposed technique are demonstrated on practical PCB inspection problems.
Computer vision systems have been used in recent years to perform automated antibiotic susceptibility test based on the disk-diffusion method. However, certain organisms do not reflect light very well. As such, the reliability of such automated inspection systems is sometimes not as high as expected. This paper proposes to use texture analysis to improve the quality of test images and thereby simplify the inspection tasks. Adaptive texture filters are used to maximize the difference between regions of interest in a test image and the background, enabling a thresholding operation to be carried out easily. The principles of adaptive filtering for texture analysis are discussed. A training algorithm is presented to generate optimized filters for generic texture inspection problems. An experimental study is carried out to investigate the performance of this technique in highlighting poorly reflecting organisms in antibiotic susceptibility testes.
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