IMAGE PROCESSING
3 min readJun 2, 2021
- Computer Vision is a vast field. Basically, we can define CV in simple terms as the eye(vision) of your computer.
- Your Laptop’s WebCam, IP WebCam etc these cameras are all example of Vision of your computer. What your computer sees with the WebCam it process on that data.
- Opencv-python i.e Open source Computer Vision is a Library in python which helps to use the features related to CV.
- Applications of CV in real world are Haarcascade Face Detection, Haarcascade Full Body Detection, Canny Edge Detection, Pupil Detection, Image Projection, Adding Filters to a photo, Image Crop etc
- In this Article I cropped an image of Dog and Cat also added filters to last image.
- In Second figure, the size of the figure is cropped and resized by (500,400).
- cv2.imshow will helps to show the figure whereas cv2.waitkey will holds the window(we can provide milliseconds as a parameter) and cv2.DestroyAllWindows is used for closing the image.
- In Fourth Figure, the Gray image is obtained from its original one.
- cv2.cvtColor is used to Gray scale the image.
- In Fourth Figure, the Gray image is obtained from its original one.
- cv2.cvtColor is used to Gray scale the image.
- In Sixth Figure, Another image of Cat is cropeed and resized and placed between the two Dogs.
- The last figure is made by applying filters by spliting the three color B, G, R (Blue, Green, Red) from cv2.split. The three colors are stored in B, G, R respectively.
- Required size of Cat Image must be within the range of Dog image
