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cpp_practice_image_processing's Introduction

cpp_practice_image_processing

Contents:

  • Sobel filter.
  • Canny edge detection.
  • Harris keypoints detection.
  • Hough line detection.
  • Fit 2D line with/without RANSAC.

Usage

Environment: Ubuntu18.
Dependencies: OpenCV and eigen3.

Main commands:

mkdir -p build bin lib output
cd build; cmake ..; make -j7; cd ..

bin/test_sobel_and_gaussion
bin/test_canny
bin/test_harris
bin/test_hough_line
bin/test_fit_2d_line
bin/test_ransac_fit_2d_line

Results

tests/test_sobel_and_gaussion.cpp (1. Src; 2. Gaussion; 3. SobelX; 4. SobelY; 5.Sobel.)

tests/test_canny.cpp (1. Src; 2. Sobel; 3. Canny(Mine); 4. Canny(OpenCV).)

tests/test_harris.cpp (1. Src; 2. Corner response; 3. Corners.)

tests/test_hough_line.cpp (1. Sobel; 2. Lines; 3. Hough transform.)

tests/test_fit_2d_line.cpp (1. Fit two points; 2. Fit five points.)

tests/test_ransac_fit_2d_line.cpp (Sample x points to fit the initial line parmeters: x=2 & x=4.)

cpp_practice_image_processing's People

Contributors

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