![]() ![]() # command im read is used in order to read the image which is being sourced by the programmer # command used to import the Open CV library to utilize the scale image function * resize(* src, * dsize * *] *] *] *)įollowing is an example that illustrates the use of the scaling method using the open CV library in Python 3 programming language: Syntax and functions used for scaling imageįollowing is the syntax which is used for implementing the Open CV scale image function:Ĭv2 *. In certain applications, the output image which is being scaled needs to be of a certain height and width to fit the brief in such a case, both the height as well as the width of the image can be scaled that is increasing or decreasing both the height and the width of the original image according to the specific output results that are needed.only the height of the input image is scaled, either increasing or decreasing the overall height of the image but at the same time keeping the width of the original image unchanged.only the width of the input image is scaled, either increasing or decreasing the overall width of the image but at the same time keeping the height of the original image unchanged.in such an application, two output images can be resulted by scaling of the image to be performed No preservation is observed for the overall aspect ratio for the input image – In this situation, the aspect ratio is not needed to be preserved for the applications which use such output images.Upscale or increasing the overall size of the image that the user provides.Downscale or decreasing the overall size of the image provided by the user.in such cases, there are two scenarios that can be applied for scaling the image – Preservation of the overall aspect ratio – in such a scenario, the application where the function of scaling is being used needs the height do width overall ratio with respect to the input image needs to be preserved.That is it for the Python cv2 resize() method.Web development, programming languages, Software testing & others Print('Resized Dimensions : ', resized.shape) Resized = cv2.resize(image, dim, interpolation=cv2.INTER_AREA) Height = int(image.shape * scale_percent / 100) Width = int(image.shape * scale_percent / 100) ![]() Scale_percent = 120 # percent of original size Print('Original Dimensions : ', image.shape) Providing a value 100 upscales the image provided. In the following code, scale_percent value holds the percentage by which the image has to be scaled. We are using a matplotlib library to plot the four images with its title. Then we are resizing images with four different options using the cv2.resize() method.Īnd then we are displaying image one by one using for loop. In the next step, we have defined an image path and reading the image using the imread() method. In this example, we have imported cv2 and matplotlib libraries. INTER_CUBIC – It is the bicubic interpolation over 4×4 pixel neighborhood INTER_LANCZOS4 – It is the Lanczos interpolation over 8×8 pixel neighborhood. But when an image is zoomed, it is similar to the INTER_NEAREST method. It may be a preferred function for image decimation, as it gives moire’-free results. INTER_AREA – It is the resampling using pixel area relation. INTER_LINEAR – It is the bilinear interpolation (used by default) INTER_NEAREST – It is the nearest-neighbor interpolation This is the optional flag that takes one of the following methods. This is the optional scale factor along the vertical axis. This is an optional parameter and scale factor along the horizontal axis. This is the required parameter, and it is the desired size for the output image. This parameter is required, and it is the source/input image. Syntax cv2.resize(src, dsize]]]) Parameters Parameter This is the default interpolation technique in OpenCV. cv2.INTER_LINEAR: This option is primarily used when zooming is required.cv2.INTER_CUBIC: This option is slow but more efficient.cv2.INTER_AREA: This option is used when we need need to scale down an image.Interpolation Method for Resizing Options To resize an image, OpenCV provides cv2.resize() function. Also, the aspect ratio of the original image could be preserved in the resized image. The dimensions can be a width, height, or both. Resizing the image means changing the dimensions of it. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |