Read and Write Single Type Grayscale IMAQ Images

[Cole_R]

Overview

This example demonstrates how to save and load grayscale (SGL) images to binary files.

Description

Occasionally, cameras may output Grayscale images with the data type of single (SGL). The IMAQ Writefile function does not have a method for saving single type images, however, we can save these images to a simple binary file with resolution data for proper image reconstruction. The write function included in this example transforms the IMAQ image to a 2-D of pixel data. This data, along with the image resolution is written to a binary file. The Read function first reads the image resolution data, then reads the rest of the pixel data in the file. The function then uses the image resolution to rebuild the image to its original form and returns the imaq image.

This example also contains a test VI that shows how to call read and write functions.

Requirements

 Software

• LabVIEW Base Development System 2012 (or compatible)
• Vision Development Module 2012 (or compatible)

 Hardware

• No hardware required
  

Steps to Implement or Execute Code

1. Download the attached file "Read Write Grayscale SGL file test LV2012 NIVerified.zip"
2. Open "Read Write Grayscale SGL file test LV2012 NIVerified.vi" VI and follow the instructions in Front Panel and Block Diagram and run the program.
   
3. Open "Read Grayscale SGL File LV2012 NIVerified.vi" and "Write Grayscale SGL File LV2012 NIVerified.vi" to see implementation of read and write functions.

Additional Information or References

Test VI Block Diagram:

Write Grayscale SGL File LV2012 NIVerified.vi:

Read Grayscale SGL File LV2012 NIVerified.vi:

**The code for this example has been edited to meet the new Community Example Style Guidelines. The edited copy is marked with the text ‘NIVerified’. Read here for more information about the new Example Guidelines and Community Platform.**

[cathy345]

"we can save these images to a simple binary file with resolution data for proper image reconstruction" This is helpful. And I wonder what degree of "proper image reconstruction" stands for?

[hhammer]

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