OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. This is cross-platform library, it provides functions that are used in multiple languages.
Coming to image processing, OpenCV enables us to perform multiple operations on image, but in order to do that we need to read an image file as input, then we can perform the desired operation and we can save it.
Let’s see a simple operation to read the image file using OpenCV library and then save it.
Functions used :
-> imread(Location_of_image, integer): The second parameter is an integer for changing the color of image. -1 To read image Unchanged and 0 To read image in gray scale.
-> imwrite(Name_after_save, variable_containing_read_image)
->waitKey(0): After execution will keep the window open till a key is pressed
-> destroyAllWindow(): It will close all the windows that were opened during the program run.
Below is the Python implementation:
- OpenCV Python Program to blur an image
- OpenCV Python Program to analyze an image using Histogram
- Python Program to detect the edges of an image using OpenCV | Sobel edge detection method
- Python PIL | Image.save() method
- OpenCV C++ Program to blur an image
- OpenCV C++ Program to create a single colored blank image
- Python | Image blurring using OpenCV
- Cartooning an Image using OpenCV - Python
- Image Pyramid using OpenCV | Python
- Log transformation of an image using Python and OpenCV
- Image Registration using OpenCV | Python
- Image Translation using OpenCV | Python
- Image Steganography using OpenCV in Python
- Image Processing without OpenCV | Python
- Image Resizing using OpenCV | Python
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