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For friends today I will tell you how to use lab view for image processing.

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For that purpose you have to install.

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Reason and motion toolbox to your left.

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You.

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So in this, as you see on the block diagram window and functional palette, I have within motion toolbox

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as you see over here.

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This is my vision in motion.

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So I just locate over here for image processing.

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I just need this one within utility and image processing toolbox.

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Okay.

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If I go to our front panel window over here, also, you can find out the reason tool box.

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As you see over here, this is a reason tool for the image processing.

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I'll just go to our diagram window over here.

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First we have to save our image.

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So let's go to.

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Image reason utilities, image management or here you can find out I make you create.

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It is just like other like in the data acquisition case, we just create a channel.

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So over here, create a.

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Image.

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Okay, so over here to save an image, you have to just create a constant.

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So let's say my input image name is my name.

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Salim.

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And over here you can select the type or here you can find out like gray unsigned eight X ranges to

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raise to eight that is maximum to five five then greyscale integer 16 and other formats also available.

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I just use in this case create scale view eight unsigned integer state.

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Okay, so next I have to read five.

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So for the read file I just go back in the files or here you can.

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Find out.

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I make you read.

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Why do you have to just drag and drop over here?

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So connect new image to the image, as you see.

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And over here, you have to create a path.

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So to create a path.

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I just go to strings and file control path.

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So I just name it input.

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So just to go back, connect this.

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So it will take the part of image.

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And over here, this is the used file part.

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Image type.

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So create a constant right now.

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Just make it true.

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So next in this, I just use a classic image to display the image.

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So just go back over here in the vision toolbox you can find out image display classic.

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I just put it over here and this is my real image, so I just make it real.

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Okay, so more here, I just go back and connect it to the.

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Image.

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So go back.

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Select the image right now in the pictures or here, this is my image.

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I just select the part.

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So as you see and when I hit on run button you can check it is Zoom.

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So I just zoom.

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So as you see over here, I got the image.

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So this is how you can acquire image using LED view.

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Now this image.

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How pixels.

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So I want to work with the pixels.

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So I just go back.

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Two images.

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So now we have a match.

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Of real.

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Right now in this.

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If you make it false, then.

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Check out how the image behave.

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So it is great image over here as you see.

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And if I make it due then I got.

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Colorful image, as you see.

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So right now, I just make it false.

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So here I have my real image.

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Then I want to work with pixels.

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So for that purpose, go to these new realities.

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Pixel manipulation.

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Or here you have image.

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I make you image to edit.

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So I want to just convert this image to edit.

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So for that purpose, I make it.

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Control edge and over here on the top image pixels.

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You eight we got.

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So I just create an indicator for that I go to the array and you see two parallel lines are there.

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So I'm also creating labels for this so visible item label.

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So you so that you can see.

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So again over here, visible item labels.

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Again.

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Visible items, labels.

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So now.

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Photo.

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Are fentanyl and or here you can see.

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There is Eddie.

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And in this image I have 4608 columns and three, four, five, six roads.

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So when I hit on the button, as you see over here, according to the color, I got different metrics

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value.

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Basically, this is a pixel value.

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So over here you can put like 4600.

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Let's say this is a row.

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So I put 3400.

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And over here I just put 4600.

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So here you can find out.

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And if you drag it.

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So let's check.

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I like to increase the size of this.

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So let's see.

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I am increasing this.

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For Tottenham of.

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Because art, as you see.

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Six.

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Okay.

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So.

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And the number of columns are.

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So this is my last element.

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So from here, you can check.

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Okay.

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So this is my.

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Matrix for me.

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Image.

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Then I just go back.

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Right now I want to check.

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Or I want individual value or I want to convert this image.

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Going negative.

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And after that, I want to flip it.

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So for that purpose.

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I want to convert this you eight means pixel value.

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I'm using these pixel value.

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So for that purpose, I just using a nested loop.

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So in my previous videos you can check out what is next to do.

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So you have to connect this view eight or here this is my unit.

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Connect to the edge.

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And when you connect.

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To be added to the edge of for loop.

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The auto indexing tunnel is automatically turned on in default mode.

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So or here.

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So right now I'm using weight.

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So for that purpose, I want to.

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I get a negative of this image.

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So for that purpose you go to numeric.

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Subtract this value comma.

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Two, five, five.

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Because the maximum value for you it.

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Unsigned integer is 255.

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So just connect to the edge then.

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Or here again.

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I got the pixel value that is subtracted from 255 which will give me a negative.

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So I again use area to image function over here.

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So I just.

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Visible.

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It's.

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Label and you see.

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So connect this.

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Check first.

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It is a.

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You.

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It is over here.

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Okay.

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Now again, I have to create.

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Image.

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I want to save that image for that purpose.

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I just drag and copy this so my image is saved for let's see, name me because the name of this file

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and this file should be different.

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So I'll just connect this to this image.

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And over here, I got my.

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Negative.

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So.

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Let's be clear here.

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This is my negative or my particular image.

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So connect this.

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As you see.

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Well, let's go to panel.

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So when I hit on on button.

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As you see.

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Let's say I just make it through and.

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When I hit on the button.

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There are some problem in the immediate region.

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If my word.

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Everything is right.

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So, again, just.

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Google or here I just use positive symbol, so just delete it.

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I want to subtract, not add.

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Okay.

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Because I want to subtract.

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From 255 my particular value and it will give me the result.

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Again.

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Invented image type.

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So I just make it false.

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And when I hit on a button, as you see, or here, this is my image and this is my negative image,

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it directly make negative to positive, start to positive.

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As you see over here.

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This is dark.

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This is.

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Our hair in this case is white, so it will convert black to white or white to black.

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So because in this image processing, let's say zero denotes white and 255 denotes black.

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So when we subtract from 255.

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So it will convert.

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The image from white to black.

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Okay.

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So as you see over here, we have a negative image.

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Then after this, I want to also flip this.

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So for flipping, I again use.

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And this loop.

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I just go for a nested loop.

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Nested for loop, as you see.

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And this is my pixel value and I want to just reverse it.

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So go to arrays and or here.

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I was one dimensional.

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Okay, so just like, what's it?

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Or you can say in this case, I'm just not using this to loop in case all this.

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I'm just.

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It was one time because inside for loop, if you connect to the dimensional array, it will.

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So after this, it will convert two dimensional area to one dimensional.

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So as you see.

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So what?

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Here, I just copy it.

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And this is my flip.

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Image

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connected.

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It is not connecting to this because I want to.

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Connect this.

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Using.

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First I want to convert this area to image.

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It's been this.

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Connect this, and I also want to save it.

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So let's say this and in this case.

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They?

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SC Okay, so just name it and this.

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Yeah, I got my flip.

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Image.

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So that's what happened to my image.

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So when I hit on run button.

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And you see or hear, this is my actual grade image.

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Then I got a negative.

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Then I got a flip image in lab view.

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So over here, using these functions, you can.

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Use image processing toolbox in live view.

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Thank you.