【正文】 ，謝謝你們，因?yàn)槟銈兾业拇髮W(xué)四年才如此美好如此充實(shí)， 在此，我再說(shuō)一次謝謝！謝謝大家 河南科技大學(xué)本科畢業(yè)設(shè)計(jì)（論文） 29 英文資料翻譯 MATLAB application in image edge detection MATLAB of the 1984 countries MathWorks pany to market since, after 10 years of development, has bee internationally recognized the best technology application software. MATLAB is not only a kind of direct, efficient puter language, and at the same time, a scientific puting platform, it for data analysis and data visua lization, algorithm and application development to provide the most core of math and advanced graphics tools. According to provide it with the more than 500 math and engineering function, engineering and technical personnel and scientific workers can integrated environment of developing or programming to plete their calculation. MATLAB software has very strong openness and adapt to sex. Keep the kernel in under the condition of invariable, MATLAB is in view of the different application subject of launch corresponding Toolbox (Toolbox), has now launched image processing Toolbox, signal processing Toolbox, wavelet Toolbox, neural work Toolbox and munication tools box, etc multiple disciplines special kit, which would place of different subjects research work. MATLAB image processing kit is by a series of support image processing function from the position, the support of the image processing operation: geometric operation area of operation and operation。 F ields and piece of operation。 首先，當(dāng)然要感謝 學(xué)校以及學(xué)校的老師們 ， 謝謝你們的精心培育，讓我有如此美好的四年的大學(xué)時(shí)光；感謝 我的爸爸媽媽，沒有他們的勤勤懇懇和細(xì)心安排，沒有他們的支持和鼓勵(lì) ， 我是無(wú)論如何也完成不了我的大學(xué)生活，我也不可能完成我專業(yè)的學(xué)習(xí)。) % 顯示新算法的邊緣圖像 迭代法選取閾值的思想是首先選擇一個(gè)近似閾值作為估計(jì)值的初始值，然后進(jìn)行分割，產(chǎn)生子圖像，并根據(jù)子圖像的特性來(lái)選取新的閾值，再用新的閾值分割圖像，經(jīng)過(guò)一定次數(shù)循環(huán)，使錯(cuò)誤分割的圖像像素點(diǎn)降到最少。, )。 d=abs(TTT)。 TT=0。All Files(*.*)39。 }X Bs Bz Bz X? ? ? 公式 （ 38） 數(shù)學(xué)形態(tài)學(xué)提取 邊界 的算子如下 ( ) ( )ED X X X E?? 公式 （ 39） 式中： E： 3 ? 3 的結(jié)構(gòu)元素 ； ()EDX —— 圖像 X 的邊界。 (b) S 擊中 X(hit) 集合 S、 X 滿足 ( ) ( )S X S X? ? ? ? ?，則稱 S 擊中 X，及 SX? 。另一種是所需的迭代次數(shù)無(wú)法確定。它是一階傳統(tǒng)微分中檢測(cè)階躍性邊緣效果最好的算子之一，它比 Prewitt 算子、 Sobel 算子、 Laplacian 算子極小值算法的去噪能力都要強(qiáng)，但它也容易平滑掉一些邊緣信息。圖像的梯度為兩個(gè) 45176。利用這兩類特征把圖像分解成一系列有意義的目標(biāo)或區(qū)域的過(guò)程稱為圖像的分割。以 3 3 窗口為例，單位距離為半徑時(shí)，其鄰域?yàn)椋? )},1(),1,(),1(),1,{(4 kjkjkjkjA ????? 公式 (15) 單位距離的 2 倍為半徑時(shí)，其鄰域?yàn)椋? )}1,1(),1(),1,1(),1,( ),1,(),1,1(),1(),1,1{(8 ?????? ??????? kjkjkjkj kjkjkjkjA 公式 (16) 前者稱之為四點(diǎn)鄰域，后者稱之為八點(diǎn)鄰域。各彩色值用 R、G、 B 三通道值表示，例如紅色是 (255 ,0,0)、綠色是 (0,255 ,0)、藍(lán)色是 (0,0,255 )。數(shù)字圖像處理的工具可分為三大類：第一類包括各種正交變換和圖像濾波等方法，其共同點(diǎn)是將圖像變換到其它域（如頻域）中進(jìn)行處理后，再變換到原來(lái)的域中；第二類方法是直接在空間域中處理圖像，它包括各種統(tǒng)計(jì)方法、微分方法及其它數(shù)學(xué)方法；第三類是數(shù)學(xué)形態(tài)學(xué)運(yùn)算，它不同于常用的頻域和空間域的方法，是建立在積分幾何和隨機(jī)集合論的基礎(chǔ)上的運(yùn)算 。我們慣用一個(gè) M N 的矩陣來(lái)表示完整的數(shù)字圖像 A。由于普查的工作最大，而傳統(tǒng)的肺癌診斷手段主要是依靠人工 ，受到多種因素的制約，影響診斷的準(zhǔn)確性與效率。這種傳統(tǒng)的人工分類的工作重復(fù)而簡(jiǎn)單、效率低下、精確度不高。 邊緣檢測(cè)概述 .......................................................................... 9 167。 關(guān)鍵詞 ：癌細(xì)胞，邊緣檢測(cè)，最佳閾值，輪廓提取 ， 數(shù)字圖像處理 河南科技大學(xué)本科畢業(yè)設(shè)計(jì)（論文） III CANCER CELL EDGE DETECTION (BASED ON ITERATIVE ALGORITHM AND CORROSION ALGORITHM, CONTOUR EXTRACTION) ABSTRACT Many people will me ntion cancer fear, cancer is one of the most mon fatal diseases in the world today the world every year many people die of cancer, and incidence rate is still increasing every year. The treatment of cancer depends on the diagnosis of his early, early is the best period of the treatment of cancer. The time of diagnosis of most cases of cancer are now belong to the late, lost the best time to cure, so the accurate early diagnosis and treatment has bee an urgent need to address the problem. Cancer cells and noncancer pathology experts in a traditional microscope to observe the biopsy or smear difficult to distinguish, with the help of modern puter technology, bined with practical experience of the pathologist, medical image processing using image processing technology, can improve to judge the effectiveness and efficiency in the use of the image information and thus more accurate identification of cancer cells. This has practical significance and broad prospects for medical research and teaching, and clinical diagnosis. Digital image processing technique has been widely applied to the biomedical field, the use of puter image processing and analysis, and plete detection and recognition of cancer cells can help doctors make a diagnosis of tumor cancers. Need to be made in the identification of cancer cells, the quantitative results, the human eye is difficult to accurately plete such work, and the use of puter image processing to plete the analysis and identification of the microscopic images have made great progress. In recent 河南科技大學(xué)本科畢業(yè)設(shè)計(jì)（論文） IV years, domestic and foreign medical images of cancer cells testing to identify the researchers put forward a lot of theory and method for the diagnosis of cancer cells has very important meaning and practical value. Cell edge detection is the cell area of the number of roundness and color, shape and chromaticity calculation and the basis of the analysis their test results directly affect the analysis and diagnosis of the disease. Classical edge detection operators such as Sobel operator, Laplacian operator, each pixel neighborhood of the image gray scale changes to detect the edge. Although these operators is simple, fast, but there are sensitive to noise, get isolated or in short sections of a continuous edge pixels, overlapping the adjacent cell edge defects, while the optimal threshold segmentation and contour extraction method of bining edge detection, obtained by the iterative algorithm for the optimal threshold for image segmentation, contour extraction algor ithm, digging inside the cell pixels, the last remaining part of the image is the edge of the cell, change the processing order of the traditional edge detection algorithm, by MATLAB programming, the experimental results that can effectively suppress the noise impact at the same time be able to