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1、1.圖像反轉(zhuǎn)MATLAB程序?qū)崿F(xiàn)如下:I=imread('xian.bmp'J=double(I;J=-J+(256-1; %圖像反轉(zhuǎn)線性變換H=uint8(J;subplot(1,2,1,imshow(I;subplot(1,2,2,imshow(H;2.灰度線性變換MATLAB程序?qū)崿F(xiàn)如下:I=imread('xian.bmp'subplot(2,2,1,imshow(I;title('原始圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系I1=rgb2gray(I;subplot(2,2,2,imshow(I1;ti

2、tle('灰度圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系J=imadjust(I1,0.1 0.5,; %局部拉伸,把0.1 0.5內(nèi)的灰度拉伸為0 1 subplot(2,2,3,imshow(J;title('線性變換圖像0.1 0.5'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系K=imadjust(I1,0.3 0.7,; %局部拉伸,把0.3 0.7內(nèi)的灰度拉伸為0 1 subplot(2,2,4,imshow(K;title('線性變換圖像0.3 0.7&#

3、39;axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系3.非線性變換MATLAB程序?qū)崿F(xiàn)如下:I=imread('xian.bmp'I1=rgb2gray(I;subplot(1,2,1,imshow(I1;title('灰度圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系J=double(I1;J=40*(log(J+1;H=uint8(J;subplot(1,2,2,imshow(H;title('對(duì)數(shù)變換圖像'axis(50,250,5

4、0,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系4.直方圖均衡化MATLAB程序?qū)崿F(xiàn)如下:I=imread('xian.bmp'I=rgb2gray(I;figure;subplot(2,2,1;imshow(I;subplot(2,2,2;imhist(I;I1=histeq(I;figure;subplot(2,2,1;imshow(I1;subplot(2,2,2;imhist(I1;5.線性平滑濾波器用MA TLAB實(shí)現(xiàn)領(lǐng)域平均法抑制噪聲程序:I=imread('xian.bmp'subplot(231imshow(Ititle(

5、'原始圖像'I=rgb2gray(I;I1=imnoise(I,'salt & pepper',0.02;subplot(232imshow(I1title('添加椒鹽噪聲的圖像'k1=filter2(fspecial('average',3,I1/255; %進(jìn)行3*3模板平滑濾波k2=filter2(fspecial('average',5,I1/255; %進(jìn)行5*5模板平滑濾波k3=filter2(fspecial('average',7,I1/255; %進(jìn)行7*7模板平滑濾波k4

6、=filter2(fspecial('average',9,I1/255; %進(jìn)行9*9模板平滑濾波subplot(233,imshow(k1;title('3*3模板平滑濾波'subplot(234,imshow(k2;title('5*5模板平滑濾波'subplot(235,imshow(k3;title('7*7模板平滑濾波'subplot(236,imshow(k4;title('9*9模板平滑濾波'6.中值濾波器用MA TLAB實(shí)現(xiàn)中值濾波程序如下:I=imread('xian.bmp'I

7、=rgb2gray(I;J=imnoise(I,'salt&pepper',0.02;subplot(231,imshow(I;title('原圖像'subplot(232,imshow(J;title('添加椒鹽噪聲圖像' k1=medfilt2(J; %進(jìn)行3*3模板中值濾波k2=medfilt2(J,5,5; %進(jìn)行5*5模板中值濾波k3=medfilt2(J,7,7; %進(jìn)行7*7模板中值濾波k4=medfilt2(J,9,9; %進(jìn)行9*9模板中值濾波subplot(233,imshow(k1;title('3*3模板中

8、值濾波' subplot(234,imshow(k2;title('5*5模板中值濾波' subplot(235,imshow(k3;title('7*7模板中值濾波' subplot(236,imshow(k4;title('9*9模板中值濾波'7.用Sobel算子和拉普拉斯對(duì)圖像銳化:I=imread('xian.bmp'subplot(2,2,1,imshow(I;title('原始圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系I1=im2bw

9、(I;subplot(2,2,2,imshow(I1;title('二值圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系H=fspecial('sobel' %選擇sobel算子J=filter2(H,I1; %卷積運(yùn)算subplot(2,2,3,imshow(J;title('sobel算子銳化圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系h=0 1 0,1 -4 1,0 1 0; %拉普拉斯算子J1=conv2(I1,h,'

10、;same' %卷積運(yùn)算subplot(2,2,4,imshow(J1;title('拉普拉斯算子銳化圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系8.梯度算子檢測(cè)邊緣用MA TLAB實(shí)現(xiàn)如下:I=imread('xian.bmp'subplot(2,3,1;imshow(I;title('原始圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系I1=im2bw(I;subplot(2,3,2;imshow(I1;title(&#

11、39;二值圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系I2=edge(I1,'roberts'figure;subplot(2,3,3;imshow(I2;title('roberts算子分割結(jié)果' axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系I3=edge(I1,'sobel'subplot(2,3,4;imshow(I3;title('sobel算子分割結(jié)果'axis(50,250,50,200;grid

12、on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系I4=edge(I1,'Prewitt'subplot(2,3,5;imshow(I4;title('Prewitt算子分割結(jié)果' axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系9.LOG算子檢測(cè)邊緣用MA TLAB程序?qū)崿F(xiàn)如下:I=imread('xian.bmp'subplot(2,2,1;imshow(I;title('原始圖像'I1=rgb2gray(I;subplot(2,2,2;imshow(I1;title('

13、;灰度圖像'I2=edge(I1,'log'subplot(2,2,3;imshow(I2;title('log算子分割結(jié)果'10.Canny算子檢測(cè)邊緣用MA TLAB程序?qū)崿F(xiàn)如下:I=imread('xian.bmp'subplot(2,2,1;imshow(I;title('原始圖像'I1=rgb2gray(I;subplot(2,2,2;imshow(I1;title('灰度圖像'I2=edge(I1,'canny'subplot(2,2,3;imshow(I2;title('

14、;canny算子分割結(jié)果'11.邊界跟蹤(bwtraceboundary函數(shù)clcclear allI=imread('xian.bmp'figureimshow(I;title('原始圖像'I1=rgb2gray(I; %將彩色圖像轉(zhuǎn)化灰度圖像threshold=graythresh(I1; %計(jì)算將灰度圖像轉(zhuǎn)化為二值圖像所需的門限BW=im2bw(I1, threshold; %將灰度圖像轉(zhuǎn)化為二值圖像figureimshow(BW;title('二值圖像'dim=size(BW;col=round(dim(2/2-90; %計(jì)算起始

15、點(diǎn)列坐標(biāo)row=find(BW(:,col,1; %計(jì)算起始點(diǎn)行坐標(biāo)connectivity=8;num_points=180;contour=bwtraceboundary(BW,row,col,'N',connectivity,num_points;%提取邊界figureimshow(I1;hold on;plot(contour(:,2,contour(:,1, 'g','LineWidth' ,2;title('邊界跟蹤圖像'12.Hough變換I= imread('xian.bmp'rotI=rgb2gr

16、ay(I;subplot(2,2,1;imshow(rotI;title('灰度圖像'axis(50,250,50,200;grid on;axis on;BW=edge(rotI,'prewitt'subplot(2,2,2;imshow(BW;title('prewitt算子邊緣檢測(cè)后圖像'axis(50,250,50,200;grid on;axis on;H,T,R=hough(BW;subplot(2,2,3;imshow(H,'XData',T,'YData',R,'InitialMagnifi

17、cation','fit' title('霍夫變換圖'xlabel('theta',ylabel('rho'axis on , axis normal, hold on;P=houghpeaks(H,5,'threshold',ceil(0.3*max(H(:;x=T(P(:,2;y=R(P(:,1;plot(x,y,'s','color','white'lines=houghlines(BW,T,R,P,'FillGap',5,'Mi

18、nLength',7; subplot(2,2,4;,imshow(rotI;title('霍夫變換圖像檢測(cè)'axis(50,250,50,200;grid on;axis on;hold on;max_len=0;for k=1:length(linesxy=lines(k.point1;lines(k.point2;plot(xy(:,1,xy(:,2,'LineWidth',2,'Color','green'plot(xy(1,1,xy(1,2,'x','LineWidth',2,&#

19、39;Color','yellow'plot(xy(2,1,xy(2,2,'x','LineWidth',2,'Color','red'len=norm(lines(k.point1-lines(k.point2;if(len>max_lenmax_len=len;xy_long=xy;endendplot(xy_long(:,1,xy_long(:,2,'LineWidth',2,'Color','cyan'13.直方圖閾值法用MA TLAB實(shí)現(xiàn)直方圖

20、閾值法:I=imread('xian.bmp'I1=rgb2gray(I;figure;subplot(2,2,1;imshow(I1;title('灰度圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系m,n=size(I1; %測(cè)量圖像尺寸參數(shù)GP=zeros(1,256; %預(yù)創(chuàng)建存放灰度出現(xiàn)概率的向量for k=0:255GP(k+1=length(find(I1=k/(m*n; %計(jì)算每級(jí)灰度出現(xiàn)的概率,將其存入GP中相應(yīng)位置endsubplot(2,2,2,bar(0:255,GP,'g&

21、#39; %繪制直方圖title('灰度直方圖'xlabel('灰度值'ylabel('出現(xiàn)概率'I2=im2bw(I,150/255;subplot(2,2,3,imshow(I2;title('閾值150的分割圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系I3=im2bw(I,200/255; %subplot(2,2,4,imshow(I3;title('閾值200的分割圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis

22、 on; %顯示坐標(biāo)系14. 自動(dòng)閾值法:Otsu法用MA TLAB實(shí)現(xiàn)Otsu算法:clcclear allI=imread('xian.bmp'subplot(1,2,1,imshow(I;title('原始圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系level=graythresh(I; %確定灰度閾值BW=im2bw(I,level;subplot(1,2,2,imshow(BW;title('Otsu法閾值分割圖像'axis(50,250,50,200;grid on; %顯示

23、網(wǎng)格線axis on; %顯示坐標(biāo)系15.膨脹操作I=imread('xian.bmp' %載入圖像I1=rgb2gray(I;subplot(1,2,1;imshow(I1;title('灰度圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系se=strel('disk',1; %生成圓形結(jié)構(gòu)元素I2=imdilate(I1,se; %用生成的結(jié)構(gòu)元素對(duì)圖像進(jìn)行膨脹subplot(1,2,2;imshow(I2;title('膨脹后圖像'axis(50,250,50,200;

24、grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系16.腐蝕操作MATLAB實(shí)現(xiàn)腐蝕操作I=imread('xian.bmp' %載入圖像I1=rgb2gray(I;subplot(1,2,1;imshow(I1;title('灰度圖像'axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系se=strel('disk',1; %生成圓形結(jié)構(gòu)元素I2=imerode(I1,se; %用生成的結(jié)構(gòu)元素對(duì)圖像進(jìn)行腐蝕subplot(1,2,2;imshow(I2;title('腐蝕后圖像&

25、#39;axis(50,250,50,200;grid on; %顯示網(wǎng)格線axis on; %顯示坐標(biāo)系17.開啟和閉合操作用MA TLAB實(shí)現(xiàn)開啟和閉合操作I=imread('xian.bmp' %載入圖像subplot(2,2,1,imshow(I;title('原始圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系I1=rgb2gray(I;subplot(2,2,2,imshow(I1;title('灰度圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系se=strel('disk

26、',1; %采用半徑為1的圓作為結(jié)構(gòu)元素I2=imopen(I1,se; %開啟操作I3=imclose(I1,se; %閉合操作subplot(2,2,3,imshow(I2;title('開啟運(yùn)算后圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系subplot(2,2,4,imshow(I3;title('閉合運(yùn)算后圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系18.開啟和閉合組合操作I=imread('xian.bmp' %載入圖像subplot(3,2,1,imshow(I;t

27、itle('原始圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系I1=rgb2gray(I;subplot(3,2,2,imshow(I1;title('灰度圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系se=strel('disk',1;I2=imopen(I1,se; %開啟操作I3=imclose(I1,se; %閉合操作subplot(3,2,3,imshow(I2;title('開啟運(yùn)算后圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系subplot(3,2,4,imshow(I3;title('閉合運(yùn)算后圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系se=strel('disk',1;I4=imopen(I1,se;I5=imclose(I4,se;subplot(3,2,5,imshow(I5; %開閉運(yùn)算圖像title('開閉運(yùn)算圖像'axis(50,250,50,200;axis on; %顯示坐標(biāo)系I6=imclose(I1,se;I7=imopen(I6,se;subplot(3,2,6,imshow(I7; %閉開運(yùn)算

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