To obtain a better understanding of the effect of vehicle fires on rigid pavement,a nondestructive test method utilizing an ordinary digital camera to capture images of mortar at five elevated temperatures was underta...To obtain a better understanding of the effect of vehicle fires on rigid pavement,a nondestructive test method utilizing an ordinary digital camera to capture images of mortar at five elevated temperatures was undertaken.These images were then analyzed by“image color-intensity analyzer”software.In image analysis,the RGB color model was the basic system used to represent the color information of images.HSI is a derived-color model that is transformed from an RGB model by formulae.In order to understand more about surface color changes and temperatures after a vehicle fire,various transformation formulae used in different research areas were applied in this study.They were then evaluated to obtain the optimum HSI model for further studies of fire-damaged mortar through the use of image analysis.展开更多
he objective of the research is to develop a fast procedure for segmenting typical videophone images. In this paper, a new approach to color image segmentation based on HSI(Hue, Saturation, Intensity) color model is r...he objective of the research is to develop a fast procedure for segmenting typical videophone images. In this paper, a new approach to color image segmentation based on HSI(Hue, Saturation, Intensity) color model is reported. It is in contrast to the conventional approaches by using the three components of HSI color model in succession. This strategy makes the segmentation procedure much fast and effective. Experimental results with typical “headandshoulders” real images taken from videophone sequences show that the new appproach can fulfill the application requirements.展开更多
This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such a...This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such as switching values of the level set functions and there is no need to solve any partial differential equations (PDEs). The object contour could change due to the change in the location, orientation or due to the changeable nature of the object shape itself. Knowing the contour, the average color value for the pixels within the contour could be found. The estimated object color and contour in one frame are the bases for locating the object in the consecutive one. The color is used to segment the object pixels and the estimated contour is used to initialize the deformation process. Thus, the algorithm works in a closed cycle in which the color is used to segment the object pixels to get the object contour and the contour is used to get the typical-color of the object. With our fast algorithm, a real-time system has been implemented on a standard PC. Results from standard test sequences and our real time system are presented.展开更多
基金supported by the National Science Council of Republic of China(Grant No.NSC-90-2211-E-214-004).
文摘To obtain a better understanding of the effect of vehicle fires on rigid pavement,a nondestructive test method utilizing an ordinary digital camera to capture images of mortar at five elevated temperatures was undertaken.These images were then analyzed by“image color-intensity analyzer”software.In image analysis,the RGB color model was the basic system used to represent the color information of images.HSI is a derived-color model that is transformed from an RGB model by formulae.In order to understand more about surface color changes and temperatures after a vehicle fire,various transformation formulae used in different research areas were applied in this study.They were then evaluated to obtain the optimum HSI model for further studies of fire-damaged mortar through the use of image analysis.
文摘he objective of the research is to develop a fast procedure for segmenting typical videophone images. In this paper, a new approach to color image segmentation based on HSI(Hue, Saturation, Intensity) color model is reported. It is in contrast to the conventional approaches by using the three components of HSI color model in succession. This strategy makes the segmentation procedure much fast and effective. Experimental results with typical “headandshoulders” real images taken from videophone sequences show that the new appproach can fulfill the application requirements.
文摘This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such as switching values of the level set functions and there is no need to solve any partial differential equations (PDEs). The object contour could change due to the change in the location, orientation or due to the changeable nature of the object shape itself. Knowing the contour, the average color value for the pixels within the contour could be found. The estimated object color and contour in one frame are the bases for locating the object in the consecutive one. The color is used to segment the object pixels and the estimated contour is used to initialize the deformation process. Thus, the algorithm works in a closed cycle in which the color is used to segment the object pixels to get the object contour and the contour is used to get the typical-color of the object. With our fast algorithm, a real-time system has been implemented on a standard PC. Results from standard test sequences and our real time system are presented.
