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Real-time and accurate image matching is a key to stereo vision of agricultural harvesting robots. This research is part of a pineapple harvesting robot project. In this paper, pineapples were selected as research objects and low cost binocular vision platform was constructed, fruit area of left image was got by real-time image acquisition and rapid segmentation, rapid matching of fruit area in left...
This paper proposes an efficient fusion strategy of monocular depth cue and other image features for natural image segmentation and grouping. The main idea is to improve the performance of image clustering via fusing depth cue, color, spatial location, and edge confidence in six-dimensional color-depth feature space. It integrates the monocular depth cue estimation, mean shift filtering and graph...
This paper presents a visual recognition method to identify types of corridor segments such as T-junctions, L-junctions and ends of the corridors, using vanishing point-based visual features and a two-layer HMM framework. The main advantage of our approach is that a mobile robot can recognize the types of corridor segments under partial occlusion. This is important for robust robot navigation in real...
This paper presents an experimental study on environment recognition and movement control for multiagent robotic soccer using wheeled mobile robots. A color image segmentation method based on YUV color information of each pixel of the color image is applied to the object recognition. The color image segmentation is performed using the tables that transform each value in a pixel to membership in several...
This article describes the configuration and the implementation of a system that servos a hand-eye robot using visual information from two cameras. Using vision for robot operation presents several issues with respect to sensing, control, and system configuration. Some of these issues are presented in this paper in detail, such as image segmentation, recognition, calibration and visual servoing. Especially,...
In this paper, a method is presented for road surface segmenting in unstructured roads, which have no lane marking. When the original color images are preprocessed using mathematical morphology, binary image is acquired by a threshold in color space. Next, as the deformable template matches in the binary image, some points of road centerlines can be gained. Then, the road surface can be segmented...
This paper presents an experimental study on object recognition and self-localization for multiagent robotic soccer. A color image segmentation method based on YUV color information of each pixel of the color image is applied to the ball recognition and self-localization of a small mobile robot. First the lower and higher threshold values of Y, U, and V are determined for the sample color markers...
This paper presents an experimental study on object recognition and self-localization for multiagent robotic soccer. A color image segmentation method based on UV color information of each pixel of the color image is applied to the ball recognition and self-localization of a small mobile robot. First, the lower and higher threshold values of U and V are determined for the sample color markers. Then...
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