Code of the book "Digital Image Processing Principles and Practices (MATLAB)" Part4, matlab Digital Image Processing

Code of the book "Digital Image Processing Principles and Practices (MATLAB)" Part4, matlab Digital Image Processing
This article is part 4 of the Code series in the book "Digital Image Processing Principles and Practices (MATLAB)", which records the code from 135th to 183rd pages for readers to download and use. For the code execution result, see the original book layout. We recommend that you read the following before downloading the Code:

Introduction to the code release in the book "Digital Image Processing Principles and Practices (MATLAB )"

Http://blog.csdn.net/baimafujinji/article/details/40987807

P139

Original = imread('snowflakes.png ');
Figure, imshow (original );
Se = strel ('disk', 5 );
AfterOpening = imopen (original, se );
Figure, imshow (afterOpening, []);

P140

OriginalBW = imread('circles.png ');
Imshow (originalBW );
Se = strel ('disk', 10 );
CloseBW = imclose (originalBW, se );
Figure, imshow (closeBW)

P144

Bw = imread('bw.bmp ');
Shape1 = [0 0 0 0 1
0 0 0 1 1
0 0 1 1 1
0 1 1 1 1
1 1 1 1];
Shape2 = [1 1 0 0 0
1 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0];
Bw2 = bwhitmiss (bw, shape1, shape2 );
Imshow (bw2)

P146-1

I = imread('letter2.jpg ');
I = im2bw (I );
I1 = bwmorph (I, 'thin', inf );
Figure (1), imshow (I1 );

P146-2

I = imread('letter2.jpg ');
I = im2bw (I );
I2 = bwmorph (I, 'skel', inf );
Figure (2), imshow (I2 );

P153

I = imread('lena.jpg ');
I = rgb2gray (I );
BW1 = edge (I, 'ots ');
BW2 = edge (I, 'sobel ');
BW3 = edge (I, 'prewitt ');
Figure
Subplot (2, 2, 1), imshow (I), title ('original ')
Subplot (, 2), imshow (BW1), title ('ots ')
Subplot (2, 2, 3), imshow (BW2), title ('sobel ')
Subplot (2, 2, 4), imshow (BW3), title ('prewitt ')

P157

I = imread('einstein.bmp ');
I = rgb2gray (I );
N = [1, 2, 1
0, 0, 0
-1,-2,-1];
Edge_n = imfilter (I, N, 'shortric ', 'conv ');
Imwrite (edge_n, 'edge_n.jpg ');

P160

I = rgb2gray(imread('lena.jpg '));
M = [1, 1, 1
1,-8, 1
1, 1];
Img = imfilter (I, M );
[X, y] = size (I );
Img2 = img;
For I = 2: X-1
For j = 2: Y-1
A = [img (I, j + 1), img (I, J-1), img (I + 1, j + 1), img (I + 1, j-1 ),...
Img (I-1, j + 1), img (I-1, J-1), img (I + 1, j), img (I-1, j)];
If (max (a)-min (a)> 64 & max (a)> img (I, j) & min (a) Img2 (I, j) = 255;
Else
Img2 (I, j) = 0;
End
End
End

P165

I = imread('lena.jpg ');
IMG = rgb2gray (I );
Edge_LoG = edge (IMG, 'log ');
Imshow (Edge_LoG );
Figure
Subplot (1, 2), imshow (IMG );
Subplot (1, 2), imshow (Edge_LoG );

P167

I = double(rgb2gray(imread('lena.jpg ')));
Figure, imshow (uint8 (I ))
DoG = fspecial ('gaussian ', 5, 0.8)-fspecial ('gaussian', 5, 0.6 );
ImageDoG = imfilter (I, DoG, 'regionric ', 'conv ');
Figure, imshow (ImageDoG)
% Threshold = 2
Proc_Img1 = ImageDoG;
Proc_Img1 (find (proc_Img1 <2) = 0;
Figure, imshow (proc_Img1)
% Threshold = 3
Proc_Img2 = ImageDoG;
Proc_Img2 (find (proc_Img2 <3) = 0;
Figure, imshow (proc_Img2)

P172

Img = edge (I, 'ecold', [0.032, 0.08], 3 );

P183

RGB = imread('building.jpg ');
I = rgb2gray (RGB );
BW = edge (I, 'ecken ');

[H, T, R] = hough (BW, 'rhoresolution', 0.5, 'thetaresolution', 0.5 );
Figure, imshow (imadjust (mat2gray (H), 'xdata', T ,...
'Ydata', R, 'initialmagnification', 'fit ');
Xlabel ('\ theta'), ylabel ('\ ro ');
Axis on; axis normal; hold on;
Colormap (hot );
Peaks = houghpeaks (H, 15 );
Figure, imshow (BW );
Hold on;
Lines = houghlines (BW, T, R, peaks, 'fillgap ', 25, 'minlength', 15 );

Max_len = 0;
For k = 1: length (lines)
Xy = [lines (k). point1; lines (k). point2];
Plot (xy (:, 1), xy (:, 2), 'linewidth', 3, 'color', 'B ');
Plot (xy (1, 1), xy (1, 2), 'x', 'linewidth', 3, 'color', 'yellow ');
Plot (xy (2, 1), xy (2, 2), 'x', 'linewidth', 3, 'color', 'red ');

Len = norm (lines (k). point1-lines (k). point2 );
If (len> max_len)
Max_len = len;
Xy_long = xy;
End
End



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