عنوان کتاب: Learning OpenCV 5 Computer Vision with Python نویسنده: Joseph Howse Joe Minichino حوزه: برنامه نویسی پایتون, OpenCV سال انتشار: 2022 تعداد صفحه: 93 زبان اصلی: انگلیسی نوع فایل: pdf حجم فایل: 19.25 مگابایت به Packt ادامه مطلب
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عنوان کتاب: Learning OpenCV 5 Computer Vision with Python
نویسنده: Joseph Howse Joe Minichino
حوزه: برنامه نویسی پایتون, OpenCV
سال انتشار: 2022
تعداد صفحه: 93
زبان اصلی: انگلیسی
نوع فایل: pdf
حجم فایل: 19.25 مگابایت.
سالک: اگر انگلیسی تان هم خوب نیست این کتاب را ببینید ، چون با مقایسه کدها و عکسهایی که انتهای کد گذاشته خیلی چیزها را می فهمید ، بدون خواندن متن.
کدها فکر کنم به زبان سی است نه پایتون.
Preface v
Chapter 1: Handling Image and Video Files 1
An introduction to OpenCV 1
Downloading and installing OpenCV 2
Getting a compiler and setting CMake 4
Configuring OpenCV with CMake 4
Compiling and installing the library 7
The structure of OpenCV 8
Creating user projects with OpenCV 10
General usage of the library 10
Tools to develop new projects 11
Creating an OpenCV C++ program with Qt Creator 13
Reading and writing image files 14
The basic API concepts 14
Image file-supported formats 17
The example code 18
Reading image files 19
Event handling into the intrinsic loop 21
Writing image files 22
Reading and writing video files 22
The example code 22
User-interactions tools 24
Trackbars 27
Mouse interaction 28
Buttons 29
Drawing and displaying text 30
Summary 32
[ ii ]
Chapter 2: Establishing Image Processing Tools 33
Basic data types 33
Pixel-level access 36
Measuring the time 37
Common operations with images 37
Arithmetic operations 38
Data persistence 43
Histograms 45
The example code 47
The example code 51
Summary 55
Chapter 3: Correcting and Enhancing Images 57
Image filtering 58
Smoothing 58
The example code 60
Sharpening 61
The example code 63
Working with image pyramids 65
Gaussian pyramids 65
Laplacian pyramids 66
The example code 66
Morphological operations 69
The example code 71
LUTs 72
The example code 73
Geometrical transformations 74
Affine transformation 75
Scaling 76
Translation 77
Image rotation 79
Skewing 81
Reflection 83
Perspective transformation 86
Inpainting 88
The example code 89
Denoising 94
The example code 95
Summary 97
[ iii ]
Chapter 4: Processing Color 99
Color spaces 99
Conversion between color spaces (cvtColor) 100
RGB 100
Grayscale 103
CIE XYZ 105
YCrCb 108
HSV 110
HLS 114
CIE L*a*b* 116
CIE L*u*v* 118
Bayer 120
Color-space-based segmentation 122
HSV segmentation 123
YCrCb segmentation 125
Color transfer 126
The example code 127
Summary 129
Chapter 5: Image Processing for Video 131
Video stabilization 132
Superresolution 141
Stitching 149
Summary 164
Chapter 6: Computational Photography 165
High-dynamic-range images 165
Creating HDR images 168
Example 169
Tone mapping 172
Alignment 174
Exposure fusion 174
Seamless cloning 175
Decolorization 178
Non-photorealistic rendering 180
Summary 182
Chapter 7: Accelerating Image Processing 183
OpenCV with the OpenCL installation 185
A quick recipe to install OpenCV with OpenCL 189
Check the GPU usage 190
[ iv ]
Accelerating your own functions 191
Checking your OpenCL 191
The code explanation 192
Your first GPU-based program 193
The code explanation 195
Going real time 196
The code explanation 199
The performance 201
Summary 201
Index 203
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