Digital image processing using matlab (fundamentals)

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The document provides an overview of digital image processing using MATLAB. It covers topics such as reading and displaying images, image formats, data types, array and matrix indexing, standard array functions, operators, and flow control statements. Examples are given for how to use various MATLAB functions to load, manipulate, and process image data.

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www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Fundamentals
of
Matlab
Improve this with www.csie.ntnu.edu.tw/~violet/IP93/Chapter01.ppt

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Image Formats
http://en.wikipedia.org/wiki/Image_formats

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
More Image Formats
• PPM(Portable Pixelmap) • PGM(Portable Graymap)

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Displaying Images
f = imread(‘rose.tif’);
imshow(f);

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Try this:
>> f = imread(“Image_Name.extension”);
>> imshow(f)
>> impixelinfo
>> size(f)
ans =
1024 1024
>> [M,N] = size(f);
>> whos f
Name Size Bytes Class Attributes
r 1024x1024 1048576 uint8
Displaying Images Info.

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
imfinfo (bubbles.jpg)
ans =
Filename: 'bubble.jpg'
FileModDate: '14-Jan-2008 17:08:08'
FileSize: 7904
Format: 'jpg'
FormatVersion: ‘ '
Width: 720
Height: 688
BitDepth: 8
ColorType: 'grayscale'
FormatSignature: ‘ '
NumberOfSamples: 1
CodingMethod: 'Huffman'
CodingProcess: 'Sequential'
Comment: {}
Displaying Images Info.
Try this
>> K imfinfo('bubbles.jpg');
>> K.FileSize
ans =
7904

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Syntax:
variable=imread(“Image_name.extension’);
Imwrite(variable,”Name.ext”);
Try This:
Step1:Read
>> b = imread(‘bubbles.tif’);
Step2:Write
>> imwrite(b,'bubbles.png');
>> imwrite(b,'bubbles.jpg');
>> imwrite(b,'bubbles', 'jpg');
Writing Images

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Data Classes

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Converting Between
Data Classes
Example: Suppose
A is an array of class uint8
C is an array of class double
B = double(A)
D = uint8(C)
Syntax: B = data_class_name(A)

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Converting Between
Image Classes & Types

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Array Indexing
Example:
>> v = [1 3 5 7 9]
v =
1 3 5 7 9
>> v(2) “2nd
index”
ans =
3
>> v(2:4) “2nd
to 4th
index”
ans =
3 5 7
Guess the output of: v(3:end) v(1:2:end) v(end:-2:1)

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Matrix Indexing
Example:
>> A = [1 2 3; 4 5 6; 7 8 9]
A =
1 2 3
4 5 6
7 8 9
>> A(2, 3)
ans =
6
>> R2 = A(2, :)
R2 =
4 5 6
Guess the output of: A(1:2, 1:3) A(end, end-2) A(:, 3)
Try this:
C3 = A(:, 3)
C3 =
3
6
9

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Standard Arrays
>> A = 5*ones(3, 3)
A =
5 5 5
5 5 5
5 5 5
>> magic(3)
ans =
8 1 6
3 5 7
4 9 2
>> B = rand(2, 4)
B =
0.2311 0.4860 0.7621 0.0185
0.6068 0.8913 0.4565 0.8214

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Operators
Example:
f =
1 2
3 4
>> v = f(:) “All column in to one column”
v =
1
3
2
4

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Arithmetic Operations
Example:
>> imshow(imcomplement(f))

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Relational Operators
Example:
>> A = [1 2; 3 4]
A =
1 2
3 4
>> B = [0 2; 3 5;]
B =
0 2
3 5
>> A>=B
ans =
1 1
1 0

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Logical Operators and Functions

www.imageprocessingbook.com© 2004 R. C. Gonzalez, R. E. Woods, and S. L. Eddins
Digital Image Processing Using MATLAB®
Flow Control Statements

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Hi, I’m Aly Owens, I have a special pleasure to stand here as over a decade ago I graduated from CityU as an international student with an MBA program. I enjoyed the diversity of the school, ability to work and study, the network that came with being here, and of course the price tag for students here has always been more affordable than most around. Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as I’ve transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs… We’ll talk about it shortly. But before that, I want to take you back to 1997. One of my favorite movies is “Fifth Element”. It wowed me with futuristic predictions when I was a kid and I’m impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves: Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink). Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully). On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldn’t be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future. So, we as humans, when we don’t know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didn’t steal jobs—they transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.

Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik

Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash

Enhance GitHub Copilot using MCP - Enterprise version.pdfNilesh Gule

GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdfPriyanka Aash

Cyber Defense Matrix Workshop - RSA ConferencePriyanka Aash

Securing Account Lifecycles in the Age of Deepfakes.pptxFIDO Alliance