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Robotisation of forestry harvesting in New Zealand has the potential to achieve great productivity benefits and support the timber industry in the face of global market competition. Recognition and localization of tree trunks is the first critical operation for an autonomous forestry harvesting robot and is a challenging task due to variations of illumination under normal forestry harvesting conditions...
Study of scene understanding is a significant challenge. Many conventional methods proposed by these studies have been used or applied for many fields, for instance, scene recognition system for digital camera, similar image retrieval system on websites, and robot vision for autonomous or assist robots. From above, scene understanding is important, however it is as difficult as generic object recognition...
In order to detect navigation line for agricultural vehicles in natural vegetation-embraced environment, a method was presented based on robotic vision. Firstly, an improved region growing algorithm was introduced to segment path. Then the two edges of path were extracted and an array of points through the center was computed. Lastly, the guidance line for vehicles to follow was obtained by Hough...
This paper discusses the soccer robot orientation method which is based on sight, and locates soccer robot by using method based on color shape as well as establishes threshold segmentation, edge detection and the model of Hough transform for circle detection with an emphasis in threshold segmentation and Hough transform. Several methods are used for threshold segmentation, evident difference of images...
A visual pallet recognition system based on the accurate color segmentation is proposed. The basic idea is to get the pallet color feature samples from the images in working environment before the autonomous mobile forklift works. Then the algorithms of morphological filtering, Sobel edge detection and Hough transform are used to get the pallet forking side. At last, according to two corners of the...
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