摘要
采用了实时图像与背景图像相减的方法提取物体图像,有效的提高了图像的识别效率。通过对物体轮廓坐标重建的方法提取了边界坐标,及根据型心与边界坐标的欧式距离峰值或峰谷的个数对物体进行了分类识别。通过LabVIEW进行编程,并对圆形、三角形和矩形物体进行实验,结果表明该方法能有效的对物体外观重建,并进行分类。
It can effectively improve the image recognition efficiency using the subtraction method with the real-time image and background image to extracting the image object.To extract the objects outline coordinates by redrawing the boundary coordinates and to recognize and classify the object according to the peak or valley number of distance array between the geometry core and the boundary coordinates.Through making programming with the LabVIEW recognition system,and experiment with circular,triangular and rectangular objects,experiment results show that the method is effective for reconstructing the objects appearance and classification.
出处
《机械研究与应用》
2009年第6期17-18,23,共3页
Mechanical Research & Application
