| 基于模式识别的农田目标定位线检测 |
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| 引用本文： | 张红霞,张铁中,陈兵旗.基于模式识别的农田目标定位线检测[J].农业机械学报,2008,39(2):107-111. |
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| 作者姓名： | 张红霞 张铁中 陈兵旗 |
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| 作者单位： | 中国农业大学工学院,100083,北京市 |
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| 摘 要： | 根据农田图像的特点,采用K-means模式识别算法,实现农作物与背景的分离.通过对二值图像进行水平扫描.检测定位区域和定位点,利用定位点的坐标信息确定聚类判别函数,实现农田目标定位线的检测.多幅农田图像实验表明,定位线能够正确提取出来.该算法处理640×480像素的彩色图像蒂要0,12 s,在自动导航系统中是一种有效、快速的图像处理算法.
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| 关 键 词： | 精位农业 图像处理 定位 模式识别 聚类 |
| 收稿时间： | 2006-11-09 |
| 修稿时间： | 2006年11月9日 |
Detection Algorithm for Orientation Lines Based on Pattern Recognition |
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| Zhang Hongxia,Zhang Tiezhong,Chen Bingqi.Detection Algorithm for Orientation Lines Based on Pattern Recognition[J].Transactions of the Chinese Society of Agricultural Machinery,2008,39(2):107-111. |
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| Authors: | Zhang Hongxia Zhang Tiezhong Chen Bingqi |
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| Institution: | China Agricultural University |
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| Abstract: | An image algorithm to determine all the orientation lines of the targets in a crop image was proposed. The color image was converted into a gray image. The crops were separated from the backgrounds by K-means clustering. The orientation areas and orientation points were obtained by analyzing each horizon scan line in the binary image. The clustering function was defined according to the abscissa of orientation points on the two next horizon scan lines. The orientation lines were correctly detected by a passing a known point Hough transform. Test results showed that the algorithm was capable in accurately detecting different orientation lines. The algorithm required 0.12 s to determine all the orientation lines for a 640×480 pixel color image. |
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| Keywords: | Preeision agriculture Image processing Localization Pattern recognition Clustering |
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