Browsing by Author "Chiu, Chung-Cheng"

Now showing 1 - 4 of 4

Method for image processing
(2010-06-24)
Wu, Bing-Fei
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Chen, Chao-Jung
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Kao, Chih-Chung
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Chung, Meng-Liang
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Chiu, Chung-Cheng
The invention relates to a method for image processing. First, establish the initial image background information. And retrieve the instant image information. Then calculate the initial image background information and color intensity information of the instant image. Furthermore, adjust the instant image information. Then calculate the moving-object information. Finally, track the moving-object information. It can improve the accuracy rate of detection without the influence of erected height.
Method for tracking and processing image
(2010-06-24)
Wu, Bing-Fei
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Chen, Chao-Jung
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Kao, Chih-Chung
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Chung, Meng-Liang
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Chiu, Chung-Cheng
The invention relates to a method for image processing, which can be used to calibrate the background quickly. When the external environment is changed due to the switch of light, the color of background is calibrated quickly, and the background can be updated together. The method not only is used to update the background, but also can be used to eliminate the convergence of background again.
The applications of automatic vision detection for the intersections
(2013-01-01)
Chiu, Chung-Cheng
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Chiu, Sheng-Yi
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Chung, Meng-Liang
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Wu, Bing-Fei
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電控工程研究所
The intelligent transportation systems (ITS) aim to provide services to transport and traffic management and supply more information and safer to various users. The visual-based systems are the most popular solutions for ITS due to their highly maintainable, flexible, and intuitive features. This paper uses a background extraction algorithm to extract initial color backgrounds from surveillance video based on an entropy-analysis concept. The moving objects can then be segmented quickly and correctly by a robust object segmentation algorithm. The segmented object can be used to analyze the trajectory and to provide the collision between pedestrian and moving vehicle. A license plate detection algorithm is also provided to detect the license plate in this study.
Visual Contrast Enhancement Algorithm Based on Histogram Equalization
(2015-07-01)
Ting, Chih-Chung
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Wu, Bing-Fei
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Chung, Meng-Liang
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Chiu, Chung-Cheng
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Wu, Ya-Ching
Image enhancement techniques primarily improve the contrast of an image to lend it a better appearance. One of the popular enhancement methods is histogram equalization (HE) because of its simplicity and effectiveness. However, it is rarely applied to consumer electronics products because it can cause excessive contrast enhancement and feature loss problems. These problems make the images processed by HE look unnatural and introduce unwanted artifacts in them. In this study, a visual contrast enhancement algorithm (VCEA) based on HE is proposed. VCEA considers the requirements of the human visual perception in order to address the drawbacks of HE. It effectively solves the excessive contrast enhancement problem by adjusting the spaces between two adjacent gray values of the HE histogram. In addition, VCEA reduces the effects of the feature loss problem by using the obtained spaces. Furthermore, VCEA enhances the detailed textures of an image to generate an enhanced image with better visual quality. Experimental results show that images obtained by applying VCEA have higher contrast and are more suited to human visual perception than those processed by HE and other HE-based methods.