75+ Things to Do For Image Processing and Analysis

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Image preprocessing is a crucial step in computer vision and image analysis, involving various techniques to enhance the quality of images for subsequent tasks. Here are 75+ things to do for image preprocessing:

1. Grayscale conversion: Converting color images to grayscale simplifies processing and reduces computational requirements.
2. Image resizing: Changing the dimensions of an image is common for standardizing input sizes in machine learning models.
3. Normalization: Scaling pixel values to a standardized range (e.g., 0 to 1) helps in model convergence.
4. Contrast adjustment: Enhancing or reducing image contrast improves visibility of features.
5. Histogram equalization: Balancing the distribution of pixel intensities enhances contrast in images.
6. Gamma correction: Adjusting gamma values helps correct brightness variations in images.
7. Image rotation: Rotating images can provide multiple perspectives for analysis.
8. Image cropping: Removing irrelevant or redundant portions of an image focuses on relevant features.
9. Image flipping: Flipping images horizontally or vertically increases the diversity of training data.
10. Padding: Adding extra pixels…