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Python OpenCV Morphology and Image Preprocessing
Clean binary masks, remove noise, and highlight structures with OpenCV morphology in Python. Covers erosion, dilation, opening, closing, gradient, top hat, and black hat.
Python OpenCV Canny Edge Detection and Contours
python opencv canny edge detection and contours: Learn how to apply Canny edge detection and extract contours with OpenCV in Python, including threshold tuning, contou...
Python OpenCV Blur: Gaussian Blur and Image Filtering
python opencv blur gaussian blur and image filtering: Apply box blur and Gaussian blur with OpenCV in Python. Understand kernel size, sigma, border handling, and when...
Python OpenCV: Color Conversion, Grayscale, and Thresholding
Convert images to grayscale and apply thresholding with OpenCV in Python. Covers fixed, Otsu, and adaptive thresholding.
Python OpenCV: Read, Write, Resize, Crop, and Rotate Images
A practical walkthrough of reading, writing, resizing, cropping, and rotating images with Python OpenCV, covering BGR order, interpolation choices, and memory behavior.
Python Pillow vs OpenCV: Choosing the Right Image Library
python pillow vs opencv: Compare Python Pillow and OpenCV for image processing: API differences, performance behavior, and when to choose each library.
Python Pillow NumPy and Bytes Conversion
python pillow numpy and bytes conversion: Learn how to convert between Pillow images, NumPy arrays, and raw bytes in Python, including mode, dtype, and memory consider...
Python Pillow: Combining Images with paste, blend, and alpha_composite
Learn how to combine images with Python Pillow using paste for placement, blend for cross-fades, and alpha_composite for per-pixel transparency.
Python Pillow: Grayscale, Blur, Sharpen, and Image Filters
Use Pillow's ImageFilter module to convert images to grayscale, apply Gaussian or box blur, sharpen images, and run built-in edge-detection filters. Includes Python examples.
Python Pillow Transparency: Alpha and Background Handling
Learn how to handle alpha channels in Pillow: convert to RGBA, composite images, paste with masks, flatten transparency, and save with the correct format limitations.