Picture to Pixmap VI

Converts a picture to a cluster of image data you can use to perform certain tasks with the image, such as save it to a file using the Graphics Formats VIs.


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Inputs/Outputs

  • cpict.png picture —

    picture is the picture you want to convert to a pixmap.

  • cnclst.png rect —

    rect is a cluster that contains coordinates that describe the bounding rectangle of the image you want to convert.

    The default is to return the entire image. Horizontal coordinates increase to the right, and vertical coordinates increase to the bottom.

  • ci16.png left —

    left is the horizontal coordinate of the left edge of the rectangle.

  • ci16.png top —

    top is the vertical coordinate of the top edge of the rectangle.

  • ci16.png right —

    right is the horizontal coordinate of the right edge of the rectangle.

  • ci16.png bottom —

    bottom is the vertical coordinate of the bottom edge of the rectangle.

  • ci32.png depth —

    depth specifies the color depth of the image, which is the number of bits to use to describe the color of each pixel in the image. Valid values include 1, 4, 8, and 24 bits per pixel.

    The default is 24.

  • cu32.png Background Color —

    Background Color sets the background color of the image.

  • ipict.png new picture —

    new picture returns picture unchanged.

  • icclst.png image data —

    image data returns information about the pixmap so you can use the Graphics Formats VIs to save the pixmap to a file.

  • ii32.png image type —

    image type is reserved for future use.

  • ii32.png image depth —

    image depth specifies the color depth of the image, which is the number of bits to use to describe the color of each pixel in the image. Valid values include 1, 4, 8, and 24 bits per pixel.

    image depth affects how LabVIEW interprets the values of image and colors.

  • i1du8.png image —

    image is an array of bytes that describes the color of each pixel in the image in raster order. The value of image depth determines how LabVIEW interprets the value of this output.

    If image depth is 24, each pixel has three bytes to describe its color. The first byte for each pixel describes the red value, the second byte describes the green value, and the third byte describes the blue value.

    If image depth is 8, each pixel has one byte to describe its color. The value of each bit corresponds to an element in colors, which stores 32-bit RGB values where the most significant byte is zero, followed in order by red, green, and blue values. Valid values include 0 through 255.

    If image depth is 4, the behavior is similar to when image depth is 8 except valid values in image include 0 through 15.

    If image depth is 1, any value of zero in image corresponds to element 0 in colors. All other values correspond to element 1 in colors.

    The size of the array might be larger than expected due to padding.

  • i1du8.png mask —

    mask is an array of bytes in which each bit describes mask information for a pixel. The first byte describes the first eight pixels, the second byte describes the next eight pixels, and so on.

    If a bit is zero, LabVIEW draws the corresponding pixel as transparent. If the array is empty, LabVIEW draws all pixels without transparency. If the array does not contain a bit for each pixel in the image, LabVIEW draws any pixels missing from the array without transparency.

  • i1du32.png colors —

    colors is an array of RGB color values that correspond to the values in image. The value of image depth determines how LabVIEW interprets the value of this output.

    If image depth is 24, LabVIEW ignores this output.

    If image depth is 8, the array can have 256 elements.

    If image depth is 4, the array can have 16 elements.

    If image depth is 1, the array can have 2 elements.

    If the array is empty for any depth other than 24 bits per pixel, the image is using the default LabVIEW color palette.

  • inclst.png Rectangle —

    Rectangle is a cluster that contains coordinates that describe the bounding rectangle of the image.

    Horizontal coordinates increase to the right, and vertical coordinates increase to the bottom.

  • ii16.png left —

    left is the horizontal coordinate of the left edge of the rectangle.

  • ii16.png top —

    top is the vertical coordinate of the top edge of the rectangle.

  • ii16.png right —

    right is the horizontal coordinate of the right edge of the rectangle.

  • ii16.png bottom —

    bottom is the vertical coordinate of the bottom edge of the rectangle.