A collection of OpenCV tutorials for digital image processing
Essential concepts and tutorials
| Tutorial |
Description |
Colab |
| 1) Image reading and writing |
Reading, display and writing operations |
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| 2) Image resizing |
Upscaling, interpolation and downsampling the images |
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| 3) Image histogram |
Histogram calculation, equalization and matching |
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| 4) Image thresholding |
Simple and adaptive image thresholding |
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| 5) Image filtering |
Box, average, Gaussian, median, low/high-boost filtering |
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| 6) Edge detection |
Different edge detection methods (Sobel, Canny, LoG, Prewitt's etc) |
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| 7) Morphological operations |
dilation, erosion operations and their derivatives |
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| 8) Image blending |
Simple and weighted image blendings |
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| 9) Image color spaces |
Prominent color spaces and changing of color spaces |
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| 10) Image transformations |
Translation, rotation and other transformations |
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Advanced DIP concepts and tutorials
| Tutorial |
Description |
Colab |
| 1) Contour detection |
Draw and find contours in images |
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| 2) Image segmentation |
image segmentation/tracking based on color |
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| 3) Hough line and circle transform |
Detecting straight lines and circles in images |
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| 4) Object detection |
Object detection with Generalized Ballard and Guil Hough Transform |
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