VC++晶片内部缺陷处理+文献综述
本毕业论文首先介绍数字图像处理技术相对于传统检测方法的优势，接下来着重介绍和讲解了在缺陷检测过程中所用到的算法和理论。噪声处理，边缘检测，自动阈值算法，二值化，以及最终污点检测的递归算法，都是本文主要叙述的内容。图像处理的过程是在Visual C++ 2008环境下编程实现的。
关键词 晶片缺陷 图像处理 特征提取 预处理
毕业设计说明书（论文）外文摘要
Title Internal Defect Detection for Chips Images
Abstract
In modern society, people's life is colorful and persified, all kinds of electronic products has become an indispensable daily necessities. At the meantime, these electronic products cannot be made without chips. The chips, which are widely used in the development and application of electronic digital products, are regarded as basic components with a good stability, simplicity and inexpensive price. But the material of chip makes it vulnerable to fracture and break in transportation or operation, especially when there are some tiny defects, which greatly limits the area and the expense. This topic step over the traditional methods of chip detection, using digital image processing technology to the chip internal defect detection in order to achieve higher accuracy and faster speed, effectively saving the detecting time and cost of tests. This efficient and inexpensive detecting method has been the goal of the technical personnel at home and abroad.
Firstly, in this thesis rises introduction to the advantages of digital image processing technology comparing to traditional methods. In the following part, it highlights and explain the algorithms and theory used in the process of defect detection. The content of this thesis contains, for instance, noise processing, edge detection, automatic threshold algorithm, binarization, and, ultimately, the recursive algorithm of the stain detection. The image processing program is finished in Visual C + + 2008 environment.
Keywords Chip defect, Image processing, Feature extraction, Pretreatment
目 次
1 绪论 1
1．1 传统晶片检测技术综述 1
1．2 数字图像处理技术简介 2
1．3 数字图像处理内容 2
1．4 数字图像处理的发展及其应用 4
1．5 本文主要工作介绍 5
2 基于Visual C++ 2008 的编程框架 5
2.1 编程框架的作用 5
2.2 编程框架的构建和经典的图像处理流程 5
2.3 编程框架的优势 6
2.4 编程框架中的具体类实现 6
3 晶片图像的预处理 7
3.1 24位真彩色位图转为8位灰度图 7
3.2 图像的平滑滤波 8