In this paper, we present the prior art to find the ROI of computer vision research in order to acquire the necessary information using images or video. We adaptively obtain the ROI from the problems of conventional method with limited size of the template method and the assumption that the signboard image is located at the center. A method for signboard detection is proposed by searching the Hough line and determining the area of interest and reconstructing it taking into consideration the warped image.
Welding manipulators are important machines in industrial production. It is very important to use the manipulator to weld to the correct spot. However, there are lots of light with surface due to welding process. Nevertheless, we have to find the exact welding point in order to perform accurate welding. Elimination of variable illumination is a bottleneck in laser point detection. It is vitally important to adopt an effective method to solve the problem. In this paper, we propose a thresholding method for laser point detection. The proposed algorithm uses Otsu algorithm and S information in HSV color space for real-time calculation. The experimental results show that the proposed algorithm effectively eliminates the illumination in the image.
In this paper, we present the prior art to find the ROI of computer vision research in order to acquire the necessary information using images. or video. We adaptively obtain the ROI from the problems of conventional method. A method for signboard detection is proposed by searching the Hough line and determining the area of interest and reconstructing it taking into consideration the warped image.
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