Our resize operations worked as expected. The left image shows the resized down image and the right one the resized up image. Imshow("Resized Up image by defining height and width", resized_up) Imshow("Resized Down by defining height and width", resized_down) Display Images and press any key to continue We also specify the interpolation method, which happens to be the default value.These two values are combined in a 2D vector, required by the resize() function.We set the desired width as 300 and the desired height, 200.In this first example, let’s resize the image by specifying a new width and height that will downscale the image.
interpolation: It gives us the option of different methods of resizing the image.fy: Scale factor along the vertical axis.fx: Scale factor along the horizontal axis.dsize: It is the desired size of the output image, it can be a new height and width.src: It is the required input image, it could be a string with the path of the input image (eg: ‘test_image.png’).We will discuss the various input argument options in the sections below. The desired size of the resized image, dsize.Notice that only two input arguments are required: Let’s begin by taking a look at the OpenCV resize() function syntax. So, even when reading images with OpenCV to get their shape, the same NumPy array rule comes into play.
And in general, you always refer to the shape of an array, in terms of (rows representing its height and the columns its width). When images are read using OpenCV, they are represented as NumPy arrays. One important thing to note here is that OpenCV outputs the shape of an image in format, whereas some other image-processing libraries give in the form of width, height. PythonĬout << "Original Height and Width :" << image.rows << "x" << ls << endl As you proceed further, we will discuss resizing with different scale factors and interpolation methods as well.
Let’s go through the code example for making an image larger and smaller by resizing with custom height and width.
To resize an image, scale it along each axis (height and width), considering the specified scale factors or just set the desired height and width. Come, let’s learn about image resizing with OpenCV.