Abstract：A new recognition method based on the chromatic object entropy and its edge histogram is presented, which is used to realize the object recognition in the automated warehouse systems, so as to realize the recognition of the materials automatically. The experimental result proves that higher accuracy and rapidity can be acquired in this method.
[1] 蒋平,陈辉堂.基于视觉的机械手轨线跟踪系统[J].机器人, 1994,16(1):45-49. [2] 刘延林,王瑜辉等.智能加工中心的视觉系统[J].华中理工大学学报, 1994,22(7):5-9. [3] Tal Arbel, Frank P Ferrie. Interactive visual dialog[J].Image and Vision Computing, 2002,(20):639-466. [4] Tal Arbel, Frank P Ferrie. Entropy-based gaze planning[J].Image and Vision Computing, 2001,(19):779-786. [5] Tal Arbel, Frank P Ferrie. On the sequential accumulation of evidence[J].International Journal of Computer Vision, 43(3):205-230. [6] 张二虎,刘世昌等.一种基于熵的图像分割方法[J].微电子学与计算机, 1998.4:43-45. [7] 章毓晋. 图像工程 [M].北京:清华大学出版社.2000.10. [8] 边肇祺,张学工等.模式识别 [M].北京:清华大学出版社.2000.7. [9] Jain A K, Vailaya A. Shape-based retrieval:A case study with trademark image databases[J].Pattern Recognition, 1998,31(9):1369-1390. [10] DH-VRT-CG100图像采集卡使用说明[Z].北京大恒图像视觉有限公司.1998
