[youcans' image processing learning course] general contents

Column address ：『youcans Image processing learning class 』

【youcans Image processing learning class 】 General catalogue

[email protected], 【youcans Image processing learning class 】
Updated date ：2022-06-30

This series is to learn from Gonzalez 《 digital image processing （ The Fourth Edition ）》 The notes , The contents are also compared with the chapters of this book , It is very suitable for reference when learning this book .

Gonzalez 《 digital image processing 》 It is recognized as an authoritative textbook , There are also many related study notes and routines on the Internet . When I was studying , I also read a lot of online materials . however , Many routines are incomplete , Or possession BUG And can't work normally . Even individual cases have mistakes and omissions in Gonzales' textbooks , Or it is easy for readers to misunderstand because it is not explained clearly .

That's why , I am determined to finish writing this series of notes , Write every program . This series discloses all source programs , After careful testing, they all run correctly .

Most of the content is split in 【youcans Of OpenCV routine 】 It's released synchronously , but 【OpenCV routine 200 piece 】 It's more fragmented , Not convenient for systematic learning . Readers can choose according to their personal needs .

This article uses Gonzalez 《 digital image processing （ The Fourth Edition ）》 Some examples and pictures , Thank you for your hard work . The author purchases books and downloads pictures through legal authorization code , Only used in study notes , Not for commercial use . Some readers want me to provide routine pictures , It is difficult to comply with the order because of copyright , It is recommended to apply after purchasing the original books —— This book is well worth buying .

Because the author level is limited , Mistakes and omissions are inevitable in the text , Netizens are welcome to make corrections .

1. Installation and environment configuration

1. OpenCV Computer vision library
2. install Anaconda3 + PyCharm + OpenCV
3. OpenCV Quick start

2. Image reading and display

1. Image reading
2. Image saving
3. Image display
4. adopt matplotlib Library display image

3. Image creation and modification

1. Basic knowledge of image
2. Pixel editing
3. Image creation
4. Copy of image
5. Image clipping
6. Image stitching
7. Split of image channel
8. Merging of image channels

4. Image overlay and blending

1. The addition of images
2. Weighted addition of images
3. Mask addition of images
4. Bitwise operation of image
5. Image overlay
6. Add text to the image

5. Geometric transformation of images

1. Introduction to geometric transformation
2. Translation of image
3. The rotation of the image
4. Image flipping （ Mirror image ）
5. Image zooming
6. Image distortion （ Crosscutting ）
7. Composite transformation of image
8. Projection transformation
9. Conversion of rectangular coordinates and polar coordinates

6. Gray transformation and histogram processing

1. Image enhancement technology
2. Gray processing and binary processing of image
3. Gray scale transformation of image
4. Histogram processing of image

7. Spatial domain image filtering

1. Image correlation and convolution
2. Spatial domain smoothing filtering （ Low pass filtering ）
3. Spatial domain sharpening filter （ High pass filtering ）
4. Lowpass 、 qualcomm 、 Band stop 、 Bandpass
5. Comprehensive application of spatial domain image enhancement technology

8. Frequency domain image filtering （ On ）

1. The Fourier transform
2. Fourier transform of two-dimensional function

9. Frequency domain image filtering （ Next ）

3. Low pass filter in frequency domain
4. High pass filter in frequency domain
5. Selective filtering

10. Image restoration and reconstruction

1. Image degradation / Restoration processing model
2. Noise model
3. Spatial filtering image restoration with only noise
4. Frequency domain filtering image restoration
5. Estimate the degenerate function
6. Degraded image restoration
7. Projection reconstruction image

11. Color image processing

12. Morphological image processing

13. Edge detection and threshold processing

14. Image segmentation

15. feature extraction

（ At the end of this section ）

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Crated：2022-06-30
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