01-17-2013 12:12 PM
Hello everyone,
Iam performing 2d raster scanning, getting the signal as a waveform for every line, transform it into 1d array, and append one to another. As a result, I have a 2d array of doubles with values in volts.
I want to perform simple image improvement (denoise, reshape) and frequency analysis.
I have access ti NI Vision, but never work with it.
Q1: Where it is more simple to do the task - in 2D array format or in NI Vision
Q2: How to convert the measurement data in principle in Image format. As I guess all values should be U8 from 0 up to 255? Is there a function for doing this?
Thanks in advance!
01-17-2013 05:09 PM
Here is an example that creates an IMAQ Image from a 2D-array. "IMAQ Resample" allows for reshaping/resizing the image. Filter operations and FFT is in NI Vision, too. Your data is in [0;255] which means that you can work with U8 images.
I would use NI Vision to accomplish the task.