【正文】 the research of image processing, the information entropy has attracted more and more attention. In order to find the fast and effective image processing method, information theory is used more and more frequently in the image processing technology. In this paper, through the further discussion on concept of entropy, analyzes its application in image processing, such as image segmentation, image registration, face recognition, feature detection etc.This paper introduces the application of information entropy in image processing, summarizes some basic concepts based on the definition of entropy, mutual information. And the information entropy of image processing especially for image segmentation and image registration. Finally realize the information entropy in image registration.Keywords： Information entropy, Mutual information, Image segmentation,Image registration河北工程大學畢業(yè)設計（論文） 3 目 錄摘 要......................................................................................................................................1ABSTRACT...............................................................................................................................2目 錄..................................................................................................................................31 引言........................................................................................................................................5 信息熵的概念 .................................................................................................................5 信息熵的基本性質及證明 .............................................................................................6 單峰性.......................................................................................................................6 對稱性.......................................................................................................................7 漸化性.......................................................................................................................7 展開性.......................................................................................................................7 確定性.......................................................................................................................82 基于熵的互信息理論 ............................................................................................................9 互信息的概述.................................................................................................................9 互信息的定義.................................................................................................................9 熵與互信息的關系.........................................................................................................93 信息熵在圖像分割中的應用..............................................................................................11 圖像分割的基本概念 ..................................................................................................11 圖像分割的研究現狀 .............................................................................................11 圖像分割的方法.....................................................................................................11 基于改進粒子群優(yōu)化的模糊熵煤塵圖像分割 ............................................................12 基本粒子群算法.....................................................................................................12 改進粒子群優(yōu)化算法.............................................................................................13 Morlet 變異 ..............................................................................................................13 改建粒子群優(yōu)化的圖像分割方法..........................................................................14 實驗結果及分析.....................................................................................................16 一種新信息熵的定義及其在圖像分割中的應用 .......................................................19 香農熵的概念及性質.............................................................................................19 一種信息熵的定義及證明.....................................................................................19 信息熵計算復雜性分析.........................................................................................21 二維信息熵閾值法.................................................................................................22 二維信息熵閾值法的復雜性分析.........................................................................24 結論及分析............................................................................................................254 信息熵在圖像配準中的應用..............................................................................................27 圖像配準的基本概述 ...................................................................................................27 基于互信息的圖像配準 ...............................................................................................27 POWELL 算法 ..................................................................................................................28河北工程大學畢業(yè)設計（論文） 4 變換 ...............................................................................................................................28 平移變換 .................................................................................................................29 旋轉變換 .................................................................................................................30 基于互信息的圖像配準的設計與實現 .......................................................................31 總體設計思路和圖像配準實現 ............................................................................31 直方圖 ......................................................................................................................33 聯合直方圖 .............................................................................................................33 灰度級差值技術 ............................