| 图像分析系统中缝隙条带图像的自动识别 |
| |
| 引用本文： | 贺霖,李见为. 图像分析系统中缝隙条带图像的自动识别[J]. 计算机工程, 2003, 29(18): 119-121 |
| |
| 作者姓名： | 贺霖 李见为 |
| |
| 作者单位： | 重庆大学光电技术及系统教育部重点实验室,重庆,400044 |
| |
| 摘 要： | 为了实现在复杂光场条件下获取的图像中特定区域的自动识别，用对局部灰度变化敏感的零交叉检测器检测零交叉点，然后利用零交叉点插值而求出的动态阅值曲面对图像进行二值化，最后通过对区域特征的提取和分类准则的确定，准确识别出目标区域，从而克服了复杂光场对图像识别结果所带来的影响。
|
| 关 键 词： | 零交叉检测器 动态阈值 分类 图像分析系统 缝隙条带图像 自动识别 |
| 文章编号： | 1000-3428(2003)18-0119-03 |
| 修稿时间： | 2002-10-09 |
An Automatic Recognition Method for Strip Image in Image Analysis System |
| |
| HE Lin,LI Jianwei. An Automatic Recognition Method for Strip Image in Image Analysis System[J]. Computer Engineering, 2003, 29(18): 119-121 |
| |
| Authors: | HE Lin LI Jianwei |
| |
| Abstract: | It is required to indentify some regions in images obtained in condition of nonuniform illumination.Zero-crossing detector is sensitive to the local varity of gray level,and a threshold surface to segment image can be obtained by interpolating the zero-crossing points.Then the destination region can be detected using the method of pattern recognition.It can be seen that the method advoids the influence of nonuniform illumination effectively. |
| |
| Keywords: | Zero-crossing detector Adaptive thresholding Classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
