摘要在图像理解、图像匹配、三文重建及模式识别等领域中，特征点的检测具有十分重要的意义。特征点在保留图像中物体的重要特征信息的同时有效地减少了信息的数据量，使得对图像处理时运算量大大减少。特征点的的定义有多种不同的表述，如图像中灰度值和像素剧烈变化的点、图像边界上具有较高曲率的点等。对于特征点的定义决定了特征点的特性，同时也决定了所检测出的特征点的检测所采用的方法。35079
点特征是图像最基本的特征,它是指那些灰度信号在二文图像上都有明显变化的点,如角点、圆点等。点特征可以应用于诸如图像的配准与匹配,目标描述与识别,光束计算,运动目标跟踪、识别和立体像对3D 建模等众多领域。使用点特征进行处理,可以减少参与计算的数据量,同时又不损害图像的重要灰度信息,在匹配运算中能够较大的提高匹配速度,因而受到人们的关注。提取点特征的算子称为兴趣算子或有利算子(interest operator) ,即利用某种算法从影像中提取人们感兴趣的有利于某种目的的点。在图像分析和计算机的视觉领域,根据不同应用目的选择有效的点特征提取。
毕业论文关键词： 点特征、兴趣算子、点特征检测算法
Abstract
In image understanding, image matching, 3D reconstruction and pattern recognition, the detection interest point of great significance. interest point objects in an image while preserving the important characteristic information effectively reduces the amount of data, so that the image processing operations of the greatly reduced. Define the characteristics of a variety of different points of expression, such as image and pixel gray value of point dramatic changes, and so has a point higher curvature on the image border. For the definition of the interest point determine the characteristics of the feature point, but also determines the method of detecting the detected interest point used.
Point feature is the image most basic features, which are those on the two-dimensional image signal gradation has significant change points, such as corners, dots and so on. Point features can be applied to image registration and matching, object description and recognition, beam calculation, moving target tracking, identification, and many other fields, such as three-dimensional image of the 3D modeling. Processed with the point features can reduce the amount of data involved in the calculation, without compromising important information grayscale image, in matching calculation can greatly improve matching speed, and thus subject to people's attention. Feature extraction point operator is called operator or beneficial interest Operators (interest operator), namely the use of an algorithm to extract people from the image point of interest in favor of a particular purpose. In the field of image analysis and computer vision, and choose effective point feature extraction depending on the application purpose.
Keywords: interest point; interest operator; interest point of image detection algorithm
目录
摘要 i
Abstract i
1 绪论 2
1.1 课题研究的背景和意义 2
1.2 图像特征点的研究现状 3
1.3 研究内容和目标 3
1.4 章节安排 4
2 图像特征点的研究 5
2.1 局部特征点 5
2.2 斑点检测原理与举例 5
2.3 角点检测的原理与举例 8
2.4 本章小结 9
3 Sift特征点提取算法 10 图像中点特征检测算法的实现及其应用的研究:http://www.751com.cn/jisuanji/lunwen_32864.html