Image Processing
Image Processing
Introduction
OpenCV_BackgroundSubtractor
Intro_BackgroundSubtractor
References
ch01_Image Heneration and Colors
ch02_Image Transform
Hough Transformation
Fourier Transformation
ch03_Image Enhancement
ch04_Edge_Contour_Detection
ch05_Image Morphology
ch06_Image Interpolation
ch07_Image Restoration
ch08_Super Resolution
ch09_Geometric Camera Models
ch10_Camera Calibration
3D Pose Estimation
Extrinsic Camera Calibration
ch11_Image Warping
ch12_SIFT
ch13_SURF
ch14_Image Mosaic_panorama
ch15_Stereo Camera System
Epipolar Geometry
Stereo matching
ch16_Bayesian inference and MRF models
ch17_Shape Matching
ch18_Object Tracking
opencv_tracking
opencv_kalmanfilter
ch19_Mean Shift
ch20_K-means Clustering
ch21_Image Retrieval
ch22_keypoint recognition Using Randomized Tree
ch23_Boosting
Geometry
Application
Chapter 1. Setting Up OpenCV
Chapter 3. Processing Images with OpenCV 3
Chapter 4. Depth Estimation and Segmentation
Chapter 5. Detecting and Recognizing Faces
Chapter 6. Retrieving Images and Searching Using Image Descriptors
Chapter 7. Detecting and Recognizing Objects
Powered by
GitBook
ch01_Image Heneration and Colors
Chapter 1. Image Heneration and Colors
RGB는 특성상 함부로 조작 하기가 어렵다.
1. Image Measure(동일성 측정)
PSNR + SSIM 을 동시에 고려하여 동일성 측정
PSNR
MSE
SSIM(Structural Similarity Index)
Intensity + Contrast + Structure
GitHib에 올려서 관리 하기로 변경
results matching "
"
No results matching "
"