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| -rw-r--r-- | doc/dui.md | 8 | ||||
| -rw-r--r-- | doc/refs.bib | 23 |
2 files changed, 27 insertions, 4 deletions
@@ -195,10 +195,10 @@ This is a popular algorithm used to detect straight lines in an image. It works For more information about Hough Transform algorithms check the below links: -- [Wiki hough](https://en.wikipedia.org/wiki/Hough_transform ) -- [Science article](https://www.sciencedirect.com/topics/computer-science/hough-transforms) -- [OpenCV Hough](https://docs.opencv.org/3.4/d9/db0/tutorial_hough_lines.html) -- [OpenMV find_lines](https://docs.openmv.io/library/omv.image.html) +- \citetitle{wikipedia:hough} +- \citetitle{sciencedirect:hough} +- \citetitle{opencv:hough} +- \citetitle{openmv:find_lines} #### EDlines diff --git a/doc/refs.bib b/doc/refs.bib index 7ae5f95..4af280b 100644 --- a/doc/refs.bib +++ b/doc/refs.bib @@ -5,3 +5,26 @@ year = {2019}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8746141} } + +@online{wikipedia:hough, + title = {Hough transform}, + url = {https://en.wikipedia.org/wiki/Hough_transform} +} + +@article{sciencedirect:hough, + author = {Mark S. Nixon and Alberto S and Aguado}, + title = {Feature Extraction and Image Processing for Computer Vision}, + year = {2020}, + url = {https://www.sciencedirect.com/topics/computer-science/hough-transforms} +} + +@manual{opencv:hough, + title = {Hough Line Transform}, + url = {https://docs.opencv.org/3.4/d9/db0/tutorial_hough_lines.html} +} + +@manual{openmv:find_lines, + title = {image — machine vision}, + url = {https://docs.openmv.io/library/omv.image.html} +} + |