However, this method may significantly distort the image. The recommended method to resize image data is using the functions provided by the LabVIEW Vision Development Module for this purpose. For more information about the LabVIEW Vision Development Module, follow the link in the section below.

A Pixmap is a 2D array of numeric values that correspond to the color values of the individual pixels of the image. This conversion is done by importing an image into LabVIEW using the Read JPG File, Read PNG File, or Read BMP File VIs to read the appropriate file format.

Once the image has been read into LabVIEW, you can use the Unflatten Pixmap VI to convert the picture information to a Pixmap. These VIs, which are only available in the Full and Professional Versions of LabVIEW, are located on the聽Functions禄Graphics and Sound禄Graphics Formats聽palette.

Once you have the image as a Pixmap, you can treat it as an array and do array manipulation to alter the image. At this point, you must write your own algorithm to manipulate the Pixmap to resize the image.聽 Keep in mind that resizing an image cannot add new information when making an image larger, and will inevitably lose some information when making an image smaller, so careful consideration is needed to design an algorithm which preserves the most useful information for your application.聽 For example, averaging neighboring pixel colors may tend to blur hard edges, making edge detection more difficult.聽 Resampling images is still an active area of study with significant tradeoffs between efficiency and accuracy.聽 For predicable results, the聽Vision Development Module 聽provides tools to resize or resample images.

You can then use the Flatten Pixmap VI to flatten the Pixmap back into the image data, and then save it to file with the Write JPG File, Write PNG File, or Write BMP File VIs.聽