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This exercise consists of creating an image array from raw data and manipulating that in various ways. The image you will be using looks like this:
The initial format of the data is simply 1 million lines of x,y,z values.
Steps:
- Download the 18.4 MB raw data file
- The 2D array size is 1124 lines x 1024 columns (the first 120 lines are garbage but keep them any way). Convert the 1D raw text file into the 2D array and Inclue a table of array values in the range x: 500-600 and y: 500-600 in your writeup
- Google on "Byte Array to Image" and use a tool to produce a gray scale image and include that in your write up -- Note that this step is necessary to be able to do the subsequent parts. If your having trouble with this, we have a built python tool that you can use later.
- Pave over the moon. Turn the central 300x300 pixels of the moon into a black rectangle. Include that image in your writeup
- Apply an equally weighted 5x5 smoothing filter to the raw data and include the smoothed image in your write up
- Apply a weighted 3x3 smoothing filter to the raw data and include the smoothed image in your write up
- Apply the Laplacian filter (as given in the powerpoint presentation) to the raw data and produce a new byte array from subtracting the filter from the raw image data.and include the array values from x=500:600 and y=500:600 for the subtracted image as well as the actual subtracted image in your writeup
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