毕业设计（论文）-基于聚类分析的图像分割的研究和应用.docVIP

PAGE PAGE 3 全套设计加QQ 174320523 本科毕业论文 (设计) 题 目： 学 院：信息工程学院 专 业：计算机科学与技术 姓 名： 指导教师 PAGE 基于聚类分析的图像分割的研究和应用 摘 要 聚类分析是数据挖掘的重要研究内容之一，在识别数据的内在结构方面有极其重要的作用。数据挖掘技术是近几年国内迅速开始发展起来的一门新技术,其研究涉及机器学习、神经网络、统计学多个学科领域的知识，其发展对未来社会的各个领域的作用将会越来越大。图像分割是图像分析中的一个基本问题，随着技术的进步,图像使用的越来越多,对图像的分割也越来越引起人们的重视。 本文主要是通过数据挖掘中聚类分析算法对图像进行分割。本文首先简要概述了本课题的背景、国内外动态；其次又详细介绍了数据挖掘的基本知识和聚类分析的各种算法；然后具体给出了如何利用聚类分析中的k-means算法在RGB和HSV颜色空间下实现图像分割；最后，通过图像分割系统在遥感中的应用，验证系统的有效性。 关键词 数据挖掘 聚类分析 图像分割 k-means HSV The research and application of image segmentation based on clustering analysis ABSTRACT Clustering analysis is one of the most important directions of research of data mining and it plays an important role in the identification of datas intrinsic structure aspect. Data mining is a new technology which has developed rapidly in recent years. Its study involves machine learning, neural network, statistics and many other subjects and its development has been more and more significant to every field of the society. Image segmentation is one of the basic problems of image analysis. With the development of technology, the image will be used more widely and image analysis will get more and more people’s closer attention. This paper mainly uses clustering analysis of data mining to implement image segmentation. It first briefly outlines the topic’s background, the domestic and foreign tendencies. Next, it introduces detailed basic acknowledge of data mining and every algorithm of clustering analysis. Then it realizes the function of image segmentation by k-means algorithm under the colorful space of RGB and HSV. At last, the application of the image segmentation system in remote image will be used to test its validation. KEYWORDS Data Mining Clustering Analysis Image Segmentation K-means HSV 目录 TOC \o 1-3 \h \z \u HYPERLINK \l _Toc200856253 1．前言 PAGEREF _Toc200856253 \h 1 HYPERLIN