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![Digital imageIntorduction
Digital image
Image processing
Applications of I.P
I.P with python
Image Processor
Graphical
interface
Filtres algorithm
Conclusion
Types of digital images
o Binary images:
0,1 or 0,255
o Gray-scale images:
[0,255]
o Color images :
- CMY (cyan-magenta-yellow) - RGB (Red-Green-Blue)
• Passive displays, such
as color printers
• This is a subtractive
color model
• Active displays, such as
computer monitors
• This is an additive color
model
I.P &research
5](https://image.slidesharecdn.com/imageprocessingpython-200305232438/75/Image-processing-python-5-2048.jpg)
![The RGB imageIntorduction
Digital image
Image processing
Applications of I.P
I.P with python
Image Processor
Graphical
interface
Filtres algorithm
Conclusion
I.P &research
o RGB images :
R:[0,255]
G:[0,255]
B:[0,255]
o P(x,y)=[220,100,0]
o So essentially, any color can be encoded as three
numbers .. one each for red, green, and blue.
6](https://image.slidesharecdn.com/imageprocessingpython-200305232438/75/Image-processing-python-6-2048.jpg)
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- 1. Realized by: o ImranYAZIDI o Khadija OUCHATTI Guided by: SIDI MOHAMED BEN ABDELLAH UNIVERSITY THE POLYDISCIPLINARY FACULTY OF TAZA MPCS DEPARTMENT MASTER INELEGENT SYSTEM & MOBIL o Mr S.AKHRAZ 106/03/2020
- 2. 1. Introduction 2. What’sdigital image 3. What’s image processing 4. Applications of image processing 5. Image processing &research 6. Image processing & python 7. Image processor 1.0 8. Graphical Interface 9. Filtres algorithms 10.Conclusion & prospectives PLAN 1 2 2
- 3. IntroductionIntorduction Digital image Image processing Applicationsof I.P I.P &research I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Project title: Create an image processing interface 3
- 4. What is thedigital image ?Intorduction Digital image Image processing Applications of I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion A digital image is a representation of a real image as a set of numbers that can be stored and handled by a digital computer. In order to translate the image into numbers, it is divided into small areas called pixelsI.P &research 4
- 5. Digital imageIntorduction Digital image Imageprocessing Applications of I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Types of digital images o Binary images: 0,1 or 0,255 o Gray-scale images: [0,255] o Color images : - CMY (cyan-magenta-yellow) - RGB (Red-Green-Blue) • Passive displays, such as color printers • This is a subtractive color model • Active displays, such as computer monitors • This is an additive color model I.P &research 5
- 6. The RGB imageIntorduction Digitalimage Image processing Applications of I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion I.P &research o RGB images : R:[0,255] G:[0,255] B:[0,255] o P(x,y)=[220,100,0] o So essentially, any color can be encoded as three numbers .. one each for red, green, and blue. 6
- 7. The RGB imageIntorduction Digitalimage Image processing Applications of I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion I.P &research 7
- 8. Image processingIntorduction Digital image Imageprocessing I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Applications of I.P DIP(digital image processing) : is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. I.P &research 8
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- 17. Image processing withpythonIntorduction Digital image Image processing Applications of I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Who do I.P Numpy Scikit ImageScipy PIL/Pillow OpenCV-Python SimpleCV Mahotas Pycairo Python librairies used in image processing 17
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- 20. Filtres algorithms: BrightnessIntorduction Digitalimage Image processing Applications of I.P Who do I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Algorithm 12 43 13 56 17 48 18 61 +5 Image source Image result 20
- 21. Filtres algorithms: RGBTo grayscaleIntorduction Digital image Image processing Applications of I.P Who do I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Image source Image result Algorithm 12 43 13 56 (12+9+200)/3= 74 9 4 10 34 200 23 65 96 74 23 29 62 R G B 21
- 22. Filtres algorithms: RGBTo white & blackIntorduction Digital image Image processing Applications of I.P Who do I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Algorithm Image source Image result 130 43 12 156 255 0 0 255 Y=x>125?255:0 22
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- 25. Conclusion & ProspectivesIntorduction Digitalimage Image processing Applications of I.P Who do I.P I.P with python Image Processor Graphical interface Filtres algorithm Conclusion Conclusion Image processing is a discipline of computer science that studies digital images and their transformations, with the aim of improving their quality or extracting information from them. Python is becoming a smart choice for image processing. This is due to its growing popularity as a scientific programming language and the free availability of many advanced image processing tools in its ecosystem. Prospectives: • Adding other filters • Applying filter in selected areas • Managing other image formats jpg , bmp.. • Adding Save work functionality • Generating animated image .GIF 25