【摘要】 通过计算机视觉系统获取地砖图像,经过图像处理提取得到相关的图像特征数据,再将特征参数作为输入建立RBF神经网络模型,利用神经网络所具有的自组织、自学习和分布式存储信息的特点对地砖进行可控的自动分类。实验证明,此方法为地砖检测分类提供了一个有效的途径。更多还原

【Abstract】 First,floor tile images are obtained with a computer vision system,then the relevant image data are extracted by image processing and finally characteristic parameters are used as the input to establish BP neural network model,with whose features of self-organizing,self-learning and distributed storage of information floor tiles can be classified in a controlled and automatic way.Experiments show that this method provides an effective way for detecting and classifying floor tiles.更多还原