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首页> 外文会议>IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011 >Object Recognition on Cotton Harvesting Robot Using Human Visual System
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Object Recognition on Cotton Harvesting Robot Using Human Visual System

机译：基于视觉系统的棉花收割机器人目标识别

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摘要

Object recognition is one of the hottest issues in the field of vision system for harvesting robot. How efficiently and accurately to remove the background and get the object in image is the key research. The attention mechanisms of human visual system (HVS) can be segmented an image into the region of interesting (ROI) which is considered important and the background which is less important, and recognized the object from ROI using the local information. In this paper, an algorithm based on the characteristic of HVS is proposed. In algorithm, the image was partitioned into many blocks of equal size. ROI was got through calculating the factor of weight of each sub-block image, and the object was extracted by segmenting the ROI. Experiment results show that the algorithm can be recognized the object efficiently and accurately. A new method for vision system of harvesting robot is provided.
机译：对象识别是用于收获机器人的视觉系统领域中最热门的问题之一。关键技术是如何有效，准确地去除背景并获得图像中的物体。人类视觉系统（HVS）的注意力机制可以将图像分割为重要区域（ROI）和不重要背景（background），并使用本地信息从ROI识别对象。本文提出了一种基于HVS特性的算法。在算法中，图像被分成许多大小相等的块。通过计算每个子块图像的权重因子获得ROI，并通过分割ROI提取对象。实验结果表明，该算法可以有效，准确地识别目标。提供了一种收割机器人视觉系统的新方法。

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