Identify the LCD and find the dead pixel

[ugg88]

Hi,

I'm so new to this vision assistant. I'm having a trouble finding the dead pixels in LCD screen. Here is what I'm trying to do

1) I'm capturing an images of LCD screen with different lights  (Red, Green and Blue LCD lights) each time from camera .

2) First I'm using the image mask to select that particular LCD region

3) Then I'm using the Color panel extraction with HSV value panel to convert to any LCD color screen to gray

4) and using the quantifier and finding the mini value (if it is zero then it has dead pixel)

Issue is LCD screen position changes in every image.  How I can identify or detect that LCD screen wherever it is on the image. 

[elcalverado]

Can you post some sample images?

You can definitely reposition your region of interest to stay right around wherever the LCD screen is, but you need to have identifiable feature in the image to use to set your coordinate system. Does the screen have a any unique features that could be used for a pattern match? You could search the image for the pattern, and use it to set up a coordinate system at that location. Then when you set the image mask and perform the quantifier operation, you can reposition the ROI based on the coordinate system.

[ugg88]

Thank you Elcalverado for suggestions. That helped.  I did color plan extraction to change to gray scale and then did pattern matching and set the coordinate.

[MorganEgan12]

To detect the position of the LCD screen in an image, you can use computer vision techniques. Apply image segmentation to identify potential LCD regions based on color similarity or contour detection. Validate these regions by considering their aspect ratio, size, and rectangular shape. Choose the region that best fits your requirements in terms of position and size. Once you have isolated the LCD region, convert it to grayscale, quantify the pixel values, and identify any dead pixels. Adapt the algorithms and parameters based on your specific image characteristics and LCD screens.