To resize images in Python using OpenCV, use cv2.resize() method. OpenCV provides us several interpolation methods for resizing an image.
Image processing is one of the most performed tasks in this digital world. Image rotate, resize, and adding different filters are frequent operations that we perform regularly. Image resizing refers to the scaling of images. You can either scale up or scale down the image. Scaling comes very handy in machine learning applications.
In this example, we will see how to resize Image in Python using the OpenCV library.
First, we import the cv2 module and then use the cv2.resize() method to scale the images.
To resize images in Python using OpenCV, use cv2.resize() method. OpenCV provides us number of interpolation methods to resize the image.
Resizing the image means changing the dimensions of it. The dimensions can be a width, height, or both. Also, the aspect ratio of the original image could be preserved in the resized image. To resize an image, OpenCV provides cv2.resize() function.
To draw a rectangle in Python using OpenCV, use cv2.rectangle() function. The cv2 rectangle() method is used to draw a rectangle on any image.
Learn Free how to create a virtual pen and eraser with python and OpenCV with source code and complete guide. This entire application is built fundamentally on contour detection. It can be thought of as something like closed color curves on compromises that have the same color or intensity, it's like a blob. In this project we use color masking to get the binary mask of our target color pen, then we use the counter detection to find the location of this pen and the contour to find it.
To filter image pixels means you can convert the image from color to grayscale or add an extra layer to the image.
There are three filters available in the OpenCV-Python library. Gaussian Blur Filter, Erosion Blur Filter, Dilation Blur Filter.
There are two main morphological transformations.1) Image Dilate 2) Image Erosion. The cv2 module that supports the following two 1) cv2.dilate() 2) cv2.erode().