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CS320n –Visual Programming

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  1. CS320n –Visual Programming Image Manipulation

  2. What We Will Do Today • Look at how to alter images using LabVIEW Image Manipulation

  3. Loading Images VI • Block Diagram of VI that allows user to load jpg images from a file and displays the image Image Manipulation

  4. Image Data • The image cluster contains a lot of data • The heart of the image is an array of ints • each int only uses 1 byte or 8 bits • represents a number from 0 – 255 • three ints in a row represent the red, green, and blue intensity for 1 pixel • elements 0, 1, 2 are for the pixel at row 0, column 0, the upper left corner Image Manipulation

  5. Image Data Image Manipulation

  6. Image Data Image Manipulation

  7. RGB Colors • What color is that pixel at the top left corner? Looks very black • Unbundle image to get at image array Image Manipulation

  8. RGB Colors • First three elements of image array are 27, 26, and 5 • Intensity of red from 0 to 255 • 0 is none, 255 is maximum • a little red, a little green, almost no blue • very close to black, all three 0 Image Manipulation

  9. Viewing a Single Color • Developed a VI to do this in an early lab • a single function exists Controls and indicator added. Image Manipulation

  10. Sample Single Colors Black. Moss? Image Manipulation

  11. How Many Colors • If the encoding of an image allows red, green, and intensity values of 0 – 255 there are • 256 * 256 * 256 = 16,777,216 possible colors • 1 byte per color per pixel • 3 bytes total per pixel, 24 bits • a.k.a. 24 bit image Image Manipulation

  12. Altering Images • Some programming tools allow individual pixels or areas to be affected, recolored. • We will look at altering image by affecting all pixels in the image • need to work with the color data • can work with the array of colors from image • OR “unflatten” the image data to a 2d array • go from an array of 1 dimension (like a list) to an array with 2 dimensions, like a table Image Manipulation

  13. Unflatten Image Function • Most interested in the 24-bit pixmap Image Manipulation

  14. Unflattening the Image Image Wire Displaying value in element 0,0 Shown as a hexadecimal number, base 16. 1B = red component, 1 * 16 + 11 * 1 = 27 1A = green component, 1 * 16 + 10 * 1 = 26 05 = blue component, 0 * 16 + 5 * 1 = 5 Image Manipulation

  15. One filter – Invert image • Invert the image • set each pixel = 16,777,215 – original value • auto indexing really shines 2d array single element 1d array flatten back to image Image Manipulation

  16. Original Image Manipulation

  17. Result Image Manipulation

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