03-08-2013 08:16 PM
Hi Lazer,
Bit busy with official work. I saw the image and defects and this cannot be identified with pattern maching. You need to do some other algorithm, Try texture defect built in example. Hope, this might solve your problem.
03-08-2013 08:22 PM
03-08-2013 08:24 PM
Sure it will give desired result.
03-12-2013 04:26 PM
hello Sasi,
you advised me to follow defect texture which will do what I am desiring for. You said built in example as well. Could you upload the example please.
Many Thanks
Lazer
03-13-2013 06:17 PM
Hello Sasi,
Sorry, I extremely sorry but I am really stuck. You asked me to try detect texture but I could not follow the method and I posted my VI on the forum and no one reply either. Could you please help. I have posted every thing what I have created on this thread;
http://forums.ni.com/t5/LabVIEW/How-to-save-images-into-hard-drive/td-p/2349042
Many Thanks
Lazer
03-14-2013 02:28 PM
As recommended by other users, it would be a good idea to create a new thread for your question on the Machine Vision forum (your thread with no responses on it was on the LabVIEW forum). That way instead of trying to get one person's attention, you can get the support and advice of the entire community that uses that forum. New forums with fewer posts typically get more attention from users.
03-14-2013 02:34 PM
11-01-2013 07:43 PM
In this illustrative example, we will create a program in Labview capture an image pattern, after the search to show the location and coordinates, you can check the following article in the following link
11-01-2013 07:47 PM
In the following function block proceed to perform the extraction of the pattern with a function for image processing that captures the last event of the RGB (extract image and coordinates)
11-01-2013 07:59 PM
In the following we proceed to function block search pattern extracted in the previous process (the parameters as rotation angle and minimum score is inserted into SETTINGS control), extract the output of the search function to get the position values indicators that will be displayed on the front panel)