数字图像处理（一）

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测试环境：Win10+Matlab2018

1.随机生成灰度图

X = rand(25, 25);
Y = round(255*X);
class(Y)  %判断类型
Z = 255 - Y; %将灰度值进行反转
subplot(1,2,1)
imshow(uint8(Y))
xlabel('Y')
subplot(1,2,2)
imshow(uint8(Z))
xlabel('Z')

2.随机生成彩色图

rgb = rand(25,25,3)
Im_color = round(rgb*255);
figure(4)
size(Im_color)
class(Im_color)
imshow(uint8(Im_color))

3.读一幅图像，将颜色翻转再输出

B = imread('lighthouse.png');
C = 255 - B;
subplot(1,2,1)
imshow(B)
xlabel('B')
subplot(1,2,2)
imshow(C)
xlabel('C')

4.读图并绘制其直方图

Img = imread('lighthouse.png');
Img = rgb2gray(Img);

count = tabulate(Img(:)); %统计灰度值的频率[灰度值；频率；百分比]
temp = count(:,2);
[c,m] = max(temp); %找到频率最大的灰度值

subplot(1,2,1)
imshow(Img)
xlabel('灰度图')
subplot(1,2,2)
bar(count(:,2))
text(m,temp(m),num2str(m),'VerticalAlignment','bottom',...
'HorizontalAlignment','center','FontSize',9,'color','r','FontWeight','bold')
xlabel('灰度直方图')