8-bit

I am trying to load DICOM files into python using the dicom library. I have done the following ds=dicom.read_file(r"C:\Users\Z003SPFR.AD005\ML\GLCM AND SVM\data\NECT\1.IMA") # # store the raw image data DicomImage = ds.pixel_array This gives me values that appear to be 12 bit, since the highest value obtained was around 3047 and lowest value was 0. Then i made my own mapping function to bring it to the range 0-255. I used the following code: leftMin = 0 leftMax = np.amax(DicomImage) rightMin = 0 rightMax = 255 def translate(value, leftMin, leftMax, rightMin, rightMax): # Figure out how 'wide'

I was looking at the ImageConverter class, trying to figure out how to convert a BufferedImage to 8-bit color, but I have no idea how I would do this. I was also searching around the internet and I could find no simple answer, they were all talking about 8 bit grayscale images. I simply want to convert the colors of an image to 8 bit... nothing else, no resizing no nothing. Does anyone mind telling me how to do this. This code snippet from the article "Transparent gifs in Java" at G-Man's Uber Software Engineering Blog works well: public static void main(String[] args) throws Exception {

I watched a video on an 8-bit pc being fed a program - manually, using physics switches. The fed program was: MAIN: 0000 0001 0100 # 0 = LDA [4] 0001 0010 0101 # 1 = ADD [5] 0010 0101 0000 # 2 = OUT 0011 1111 0000 # 3 = HLT DATA: 0100 00001110 # 4 = #14 0101 00011100 # 5 = #28 What I want to know is how the computer, if it does, distinguishes between Data and Instructions, because there are no flags that divide data from instructions. 0001 0001 0010 may be interpreted as either: 1 = LDA [2] or: 1 = #10 Is it because while the program runs, addresses are treated as instructions. but because of