Libraries for Image-Processing with Python
Image processing Python libraries offer a wide range of functionalities, ranging from basic operations like image loading and resizing to advanced tasks such as object detection and medical image analysis. With tools like OpenCV, Pillow, scikit-image, SimpleITK, and Mahotas, developers can implement various image processing algorithms seamlessly, making Python a preferred choice for image-related tasks in diverse domains.
Python Image Processing Libraries – List
- OpenCV
- Scikit-Image
- Pillow/PIL
- SciPy
- Mahotas
- SimpleITK
- SimpleCV
- Pgmagick
- Matplotlib
- NumPy
Let’s discuss the features of each Python image processing library, their suitability for different image processing tasks, and their limitations one by one.
Python Image Processing Libraries
Python offers powerful libraries such as OpenCV, Pillow, scikit-image, and SimpleITK for image processing. They offer diverse functionalities including filtering, segmentation, and feature extraction, serving as foundational tools for a range of computer vision tasks.