https://github.com/mongshil553/computer-vision-without-opencv

Fundamental Computer Vision using C++ without OpenCV
https://github.com/mongshil553/computer-vision-without-opencv

boundary-extraction histogram-equalization histogram-matching hough-transform labeling linear-luminance-contrast-transform morphology rgb2hsl

Last synced: about 2 months ago
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Fundamental Computer Vision using C++ without OpenCV

• Host: GitHub
• URL: https://github.com/mongshil553/computer-vision-without-opencv
• Owner: mongshil553
• Created: 2024-07-01T15:21:19.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-07-12T16:39:11.000Z (10 months ago)
• Last Synced: 2025-01-13T14:18:52.458Z (3 months ago)
• Topics: boundary-extraction, histogram-equalization, histogram-matching, hough-transform, labeling, linear-luminance-contrast-transform, morphology, rgb2hsl
• Language: C++
• Homepage:
• Size: 26.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Fundamental Computer Vision Using QT

This repository is about Fundamental Computer Vision Techniques without using OpenCV. Source codes are not fully open.



Conversion from RGB to HSI and NRG

RGB to HSI: 




RGB to NRG: 






Linear Luminance Contrast Transform







Dilation, Erosion Morphology

After obtaining binary image through Otsu Thresholding, running dilation, erosion morphology results as the following: 







Labeling

After obtaining binary image through Otsu Thresholding, 4-neighbor and 8-neighbor labeling with different size mask results as the following: 









Opening, Closing Operation





Boundary Extraction





Histogram Equalization





Histogram Matching







Hough Transform