摘要：图像区域检测是图像处理的一个分支。数字图像处理又称为计算机图像处理，它是指将图像信号转换成数字信号并利用计算机对其进行处理的过程。
图像处理基本上可分为像质改善、图像分析与图像重建三个部分，每一个部分均有很多内容。而数字图像处理不但可以完成线性运算，而且还可以处理非线性，也就是用数学表达式来表达一切运算。图像的区域检测就是将关键区域配准并提取出来的技术，图像特征提取是图像、视频检索问题的关键。此次论文将通过边缘检测、阈值分割和灰度直方图显著性处理。人们通常只对图像中部分关键的区域感兴趣，因此在对图像做局部特征提取时可以先对图像进行区域检测，排除非关键区域上的特征信息，从而减低匹配所需的特征点数，提高检测的处理速度。22995
毕业论文关键字：图像处理，区域检测， 特征信息
Study area detection algorithm and its application
ABSTRACT：Image area detection is a branch of image processing. Also known as a digital image processing computer image processing , which refers to converting the image signal into a digital signal and be processed using a computer process.
Image processing can be pided into image quality improvement, image analysis and image reconstruction in three parts, Each part contains rich content. Digital image processing can not only complete the linear operation, but also can realize the nonlinear processing, that can all operations with mathematical formulas or logical expression can be used in digital image processing to achieve.
Regional image is the key regional registration and extracted technology, image feature extraction is the key problem in image, video retrieval. This paper will be significant processing through image edge detection, threshold segmentation and watershed. People usually only on the image part of the key region of interest, so does the image local feature extraction can be carried out on the image region detection, excluding the feature information on nonkey regions, thereby reducing the feature points matching required, improve processing speed detection.
Keywords：Image processing, region detection, feature information.
目录
1 绪论 3
1.1 图像检测介绍 3
1.2 国内外研究现状与水平 4
1.3 发展趋势 7
2 图像处理介绍 10
2.1 计算机图像 10
2.1.1数字图像介绍 10
2.1.2图像处理技术 12
2.2 C#语言基础 14
2.2.1面向对象的C#语言 14
2.2.2 C#程序语言的图像处理 15
3 区域检测原理及算法 18
3.1 图像算法概述 18
3.2 区域检测原理及算法 19
3.2.1灰度直方图 19
3.2.2边缘检测 20
3.2.3基于阈值分割 21
4 区域检测算法应用 22
4.1 区域检测在医学上的应用 22
4.1.1CT图像处理 23
4.1.2肺结节图像处理 24
4.2 遥感图像处理 25
5 总结与展望 26
5.1总结 26
5.2展望 27
主要参考文献 27
致谢 28
1 绪论
1.1 图像检测介绍 区域检测算法及其应用的研究:http://www.751com.cn/jisuanji/lunwen_15881.html