【正文】 核心實(shí)際上也就是圖像分割技術(shù)。它使得其后的圖像分析和識(shí)別等處理過(guò)程中所要處理的數(shù)據(jù)量大大減少了，同時(shí)又保留了有關(guān)圖像結(jié)構(gòu)特征的信息。這些差別可能非常明顯，也可能十分細(xì)微，以至于人眼無(wú)法覺(jué)察。 關(guān)鍵詞： 圖像分割 ； 閾值 ； 邊緣檢測(cè)；區(qū)域生長(zhǎng) II ABSTRACT Digital image processing technology is an interdisciplinary field. With the continuous development of puter science and technology, image processing and analysis, gradually formed its own scientific the new treatment methods emerge in endlessly. Although its history is not long, but cause the extensive concern of all aspects of people. First of all, the visual is the most important human cognitive means, is the basis of the visual image, as a result, digital images bee the psychology, physiology, puter science, and many other scholars in the fields of effective tool for the study of visual perception. Secondly, the image processing in the military, remote sensing, meteorology and other large applications with growing demand. Digital image processing techniques were introduced in this paper with its the basic principle and main methods of image segmentation technology in the classic image segmentation algorithm for the more prehensive narration. Image segmentation is to divide the image into several specific area, unique quality and interested target technology and process are put forward. It is a key step from image processing to image analysis. Existing mainly in the following categories: threshold segmentation method, region segmentation, edge detection and segmentation method based on specific theory, etc. In this paper, based on MATLAB GUI knowledge display interface is established. It can be for image preprocessing, a variety of methods of segmentation,showing the gray level histogram and saving the segmentation of images. The text has used threshold method, the edge method and region extraction method has carried on the simulation, the partition of the image are pared, the advantages and shortings of all kinds of segmentation are discussed. Experiments show that no one approach is general theory of segmentation, therefore we has proposed segmentation algorithm is mostly directed at specific issues. There is not a general segmentation algorithm that is suitable for all images. But it can be seen that image segmentation method is moving toward more rapid, more accurate direction, through a variety of new theory and new technology will continue to make a breakthrough and progress. Keywords: Image segmentation。本文根據(jù) MATLAB 的 GUI 相關(guān)知識(shí) 建立了顯示界面 ， 可以對(duì)圖片進(jìn)行預(yù)處理、多種方法的分割、顯示灰度直方圖和保存分割的圖片。 本文介紹了數(shù)字圖像處理技術(shù)中圖像分割技術(shù)的基本原理和主要方法， 對(duì)經(jīng)典的圖像分割算法進(jìn)行了較全面的敘述 。 大連海事大學(xué) 畢 業(yè) 論 文 二○ 一三 年 六 月 ┊┊┊┊┊┊┊裝┊┊┊┊┊┊┊訂┊┊┊┊┊┊┊線┊┊┊┊┊┊┊ 圖像區(qū)域分割算法設(shè)計(jì) 專業(yè)班級(jí)： 20xx 級(jí)自 動(dòng)化 (2)班 姓 名： 邵 東東 指導(dǎo)教師： 申麗然 信息科學(xué)技術(shù)學(xué)院 I 摘 要 數(shù)字圖像處理技術(shù)是一個(gè)跨學(xué)科的領(lǐng)域。其次，圖像處理在軍事、遙感、氣象等大型應(yīng)用中有不斷增長(zhǎng)的需求。 現(xiàn)有的圖像分割方法主要分以下幾類：基于閾值的分割方法、基于區(qū)域的分割方法、基于邊緣的分割方法以及基于特定理論的分割方法等 。但是可以看出，圖像分割方法正朝著更 快速、更精確的方向發(fā)展，通過(guò)各種新理論和新技術(shù)結(jié)合將不斷取得突破和進(jìn)展。 Region growing III 目 錄 第 1 章 緒論 .................................................................................................................. 1 選題的背景及意義 ......................................................................................... 1 圖像分割的基本現(xiàn)狀 ........................................................................... 1 圖像分割技術(shù)的發(fā)展趨勢(shì) ................................................................... 2 本論文的主要工作及內(nèi)容安排 ..................................................................... 2 第 2 章 圖像分割技術(shù)綜述 .......................................................................................... 3 圖像分割基本概念 ......................................................................................... 3 基于閾值的分割方法 ........................................................................... 4 基于邊緣的分割方法 ........................................................................... 4 基于區(qū)域的分割方法 ........................................................................... 5 結(jié)合特定理論工具的分割方法 ........................................................... 5 灰度直方圖 ........................................................................................... 6 均值濾波 ............................................................................................... 6 GUI 簡(jiǎn)介 ......................................................................................................... 7 本章小結(jié) ......................................................................................................... 8 第 3 章 基于閾值的圖像分割方法的仿真實(shí)現(xiàn) .......................................................... 9 引言 ................................................................................................................. 9 直方圖雙峰法 ................................................................................................. 9 最大類間方差法 ........................................................................................... 11 迭代法 ........................................................................................................... 12 本章小結(jié) ....................................................................................................... 13 第 4 章 基于邊緣的圖像分割方法的仿真實(shí)現(xiàn) ........................................................ 14 引言 ............................................................................................................... 14 梯度算子 ....................................................................................................... 14 拉普拉斯算子 ............................................................................................... 15 Canny 算子 .................................................................................................... 15 IV 結(jié)果分析 ................................................