Image-Augmentation-Using-OpenCV-and-Python

Image Augmentation technique using OpenCV and Python

Part1 (Image Augmentaion Part1.py) containe fuctions for these points:

1. Resize Image: resize_image
2. Crop Image: crop_image
3. Padding Image: padding_image
4. Flip Image: flip_image
5. Superpixel Image: superpixel_image
6. Invert Image: invert_image
7. Add Light: add_light
8. Add Light Color: add_light_color
9. Saturation Image: saturation_image
10. Hue Image: hue_image

Implementation: YouTube

Part2 (Image Augmentaion Part2.py) containe fuctions for these points:

1. Multiply Image: multiply_image
2. Gausian Blur: gausian_blur
3. Averageing Blur: averageing_blur
4. Median Blur: median_blur
5. Bileteral Blur: bileteralBlur
6. Erosion Image: erosion_image
7. Dilation Image: dilation_image
8. Opening Image: opening_image
9. Closing Image: closing_image
10. Morphological Gradient Image: morphological_gradient_image
11. Top Hat Image: top_hat_image
12. Black Hat Image: black_hat_image

Implementation: YouTube

Part3 (Image Augmentaion Part3.py) containe fuctions for these points:

1. Sharpen Image: sharpen_image
2. Emboss Image: emboss_image
3. Edge Image: edge_image
4. Addeptive Gaussian Noise: addeptive_gaussian_noise
5. Salt Image: salt_image
6. Paper Image: paper_image
7. Salt And Paper Image: salt_and_paper_image
8. Contrast Image: contrast_image
9. Edge Detect Canny Image: edge_detect_canny_image
10. Grayscale Image: grayscale_image

Implementation: YouTube

Part4 (Image Augmentaion Part4.py) containe fuctions for these points:

1. Scale Image: scale_image
2. Translation Image: translation_image
3. Rotate Image: rotate_image
4. Transformation Image: transformation_image

Implementation: YouTube

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