What is Image Processing?
As the name suggests, Image Processing is a method used to process the images to extract useful information from images or get enhanced images. It has applications in almost every field. For example, we can identify criminals from their images much faster than just using their textual descriptions with face identification. It is helpful in object detection, self-driving cars, robotics, pattern recognition, in the medical field to identify diseases using images, etc.
Also See, Intersection in Python and Convert String to List Python.
Popular Python Libraries for Image Processing
Python is a widely used language for Image Processing. It contains multiple libraries and frameworks for quick implementation of image processing methods.
Some examples of the tools are OpenCV and Pillow().
OpenCV
OpenCV - Open Source Computer Vision is a crucial library for image processing containing 2000+ optimized codes for machine learning and computer vision.
It can be used for multiple tasks like
- Reading an image
- Extract RGB value
- Resizing, rotating of image
- Changing the color space of an image
- Smoothing of images
- Extracting foreground
- Image segmentation
Follow this link to know more about OpenCV.
Pillow()
Pillow(), also known as Python Image Library (PIL), is one of the most potent image processing libraries.
In PIL, we have a library called Image, which can carry out various operations like resizing, rotating the image, etc.
Like OpenCV, Pillow() can be used for various functions like
- Load an image - using the open() function.
- Display an image - using the show() function.
- Know the format of an image - using the format() function.
- Save the image after processing in png format - using the save() function.
- Resize the image - using the resize() function.
- Crop the image into desired dimensions - using the crop() function.
- Know the size of the image - using the size attribute.
- Know about the pixel - using the mode attribute.
- Flip the image - using the transform() function.
Follow this link to know more about the Pillow() library.
You can also practice with the help of Online Python Compiler
Frequently Asked Questions
1. What is image processing?
Image Processing is the method in which we perform operations on an image to extract useful information from the image or get an enhanced image.
2. What is the best image processing library in Python?
OpenCV, Pillow(), and Scikit-image are among Python’s best image processing libraries.
3. Why do we need image processing?
We need image processing as it helps us extract useful information from images. For example, image processing can be used to identify thieves quickly compared to identifying thieves using just the textual descriptions of the person.
4. Which is better for image processing, Python or MATLAB?
Python is faster than MATLAB, which is a great advantage. For example, OpenCV libraries are much faster in Python than MATLAB as MATLAB has a lot of wrappers that consume time.
5. What is DN in pixel?
Every pixel consists of a numeric value known as Digital Number, which stores the electromagnetic energy measured for the ground resolution cell.
Conclusion
This article discussed Image Processing with Python, OpenCV, and Pillow.
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