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cathair28

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About cathair28

  • Rank
    LAVA groupie
  • Birthday 01/01/1988

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  • Gender
    Male

LabVIEW Information

  • Version
    LabVIEW 2013
  • Since
    2012
  1. Thanks for the suggestion, I'll mess around with it and report back!
  2. Thanks for the reply! I have a couple different ROIs set up and I am measuring the amount of space inside the box that the "white stuff" occupies. (see the image below) I was a little vague about how I am actually doing the thresholding. In short, I am not just using the threshold vi and hoping for the best. I am trying to use an algorithm (using the Gaussian mixture model) that dynamically changes but like you said, with the lighting/contrast/brightness of the image always changing it does not always perform that well, whereas the edge detection seems to always find the correct edges. I suppose I was hoping I could use the edge detection as the base for some kind of mask or something...
  3. Hello, I am having a bit of an issue applying a threshold to an image and getting reliable results. I am thinking using edge detection prior to doing any other image processing could make this work... but I am at a loss for how to implement it. If you look at the image below you will see the root of my problem. The top set of images and bottom are only a second or 2 apart but the threshold sees them differently, yet the edge detection seems to correctly detect the edges the same. I only care about the range of pixels that usually makes up the brightest part of the image (hence the thresholding) but the low end of that range changes from frame to frame and I am left with an incorrect determination. My question is, does anyone know of a good way to use edge detection (or maybe some other method that I am not aware of) to help me with this problem?
  4. I would like to try and upgrade my current CCD (pretty close to 640x480) to a higher res model (1080p). Here are my two requirements: It has to work LabVIEW/Vision software (could interface through GIG-E/IP or whatever) It has to fit inside of a tube about this size: (marker for scale) http://i.imgur.com/9i8nPRE.jpg The housing tube can be increased in size up to about a 1.25" diameter the tube runs back 2' until it opens up into an open space where we have a gigabit switch. The camera could just have a telescoping lens or be small enough to fit in a tube that size with the cables running out the back of the tube. I have been searching Hobby sites and small electronic sites/stores but nothing has caught my eye yet. I am hoping someone here may be using some CCD (maybe for security reasons?) that does pretty close to what I need. Thanks for any help!
  5. Thanks for the response, I think ill do as you suggested and try a few different ones
  6. Thanks for the response, I have been running some tests with my current setup (the axis video encoder) and the loss of image quality via compression may not be as bad as I had thought. That being said, it will take a fair bit more testing before I will feel confident about that. Based on your suggestion I believe I may pick up one of these and run some comparisons. There is still a desire for the video to be put on a network so I am still open to suggestions for how to accomplish that task.
  7. I recently had a project dropped into my lap and have had a tough time finding information about it on the web. Here is a quick outline of my current issue. I am trying to take in an analog video signal (640x480) and process the stream in LabVIEW/IMAQ/IMAQdx (end goal would be to have uncompressed video being processed). I need to be able to have an uncompressed image to do calculations on. I am currently trying to achieve this by using an axis video server and converting the analog signal into a digital signal and finding the camera via an IP address (having networked video was requested as well... Not a must though). My understanding is that LabVIEW takes in the video stream as mjpeg (please correct me if I am wrong) and even at the lowest compression setting mjpeg streams are still compressed pretty heavily and use a lossy compression algorithm (again correct me if I am wrong) which will make doing any reliable image processing for me very difficult. So my question is... Is there a better way to do this using any other hardware? We will be putting the software on a pc like this, so I am unable to use pci/pci-e boards/cards but something through USB or Ethernet ports is fair game. I really appreciate any help I can get! I am using LabVIEW 2011 with Vision 2011
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