| 摘要: |
| 使用RLE方法，能够快速提取印刷品缺陷的多种特征。针对不同缺陷特征，使用基于径向基神经网络的方法，依据缺陷目标的特征，对缺陷进行了分类。实验结果显示，径向基神经网络通过对训练样本的训练，对测试样本能够达到良好的分类效果。 |
| 关键词: 印刷品 径向基神经网络 缺陷特征 游程编码 |
| DOI： |
| 分类号:TS801.9; TS807 |
| 基金项目:广东省自然科学基金（07006479）；深圳职业技术学院青年创新基金(2209k3010015) |
|
| Experiment and Measurement for Acquiring Solid Standards of Four Colors Metal Printing |
|
YANG Ou
|
|
Shenzhen Polytechnic, Shenzhen 518055, China
|
| Abstract: |
| Many kinds of characteristics of defects of printed matter can be extracted by RLE method. According to different characteristics of defects, the defects were classified using radial neural network method. Experimental results showed that radial neural network method can obtained good classification effect through training of specimen. |
| Key words: print matter radial basis function neural networks defect feature RLE |
