Binary
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Format: JPEG
Width: 118
Height: 145
Depth: 8
StorageType: indexed
NumberOfColors: 256
ResolutionUnit: inch
XResolution: 72.000000
YResolution: 72.000000
www.flickr.com
Gray Scale
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Format: JPEG
Width: 109
Height: 150
Depth: 8
StorageType: indexed
NumberOfColors: 256
ResolutionUnit: inch
XResolution: 72.000000
YResolution: 72.000000
www.newz.dk
True Color
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Format: JPEG
Width: 145
Height: 122
Depth: 8
StorageType: truecolor
NumberOfColors: 0
ResolutionUnit: centimeter
XResolution: 72.000000
YResolution: 72.000000
www.flickr.com
Indexed(Portable Network Graphics)
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JPEG Width: 130
Height: 113
Depth: 8
StorageType: truecolor
NumberOfColors: 0
ResolutionUnit: centimeter
XResolution: 72.000000
YResolution: 72.000000
us.geocities.com
Measuring the size of an image
Here is a scanned image of the ace of diamond card. The ruler serves as a reference measurement for the size of a pixel (1mm=13pixels or .005917sq. mm/pixel).
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Below are the images of the center diamond (true color, gray scale, and binary) and the corresponding properties. To convert the image to binary, the histogram of the gray scale image was analyze (see plot below). We could see a clear separation at around 220. This was used as the threshold.
True Color

Format: JPEG
Width: 160
Height: 211
Depth: 8
StorageType: truecolor
NumberOfColors: 0
ResolutionUnit: inch
XResolution: 96.000000
YResolution: 96.000000
Gray Scale
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Format: JPEG
Width: 160
Height: 211
Depth: 8
StorageType: indexed
NumberOfColors: 256
ResolutionUnit: inch
XResolution: 72.000000
YResolution: 72.000000
Binary
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FileSize: 2584
Format: JPEG
Width: 160
Height: 211
Depth: 8
StorageType: indexed
NumberOfColors: 256
ResolutionUnit: inch
XResolution: 72.000000
YResolution: 72.000000
Histogram Plot
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Finally, we measure the area of the diamond. We use the technique from the previous activity utilizing the follow command of scilab and the Green's Theorem. But before this, the image have to be inverted.
Inverted Image
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The measured area is 10265 pixels. Using the conversion factor(.005917 sq. mm/pixel), the measured area is 60.74 sq. mm. The analytic area (using pixel counting) is 10464 pixels or 61.92 sq. mm. The percent error is just 1.9%.
I want to give myself a 10 since I was able to successfully finish the task .
Acknowledgment to Lei for the scanned images, Jeric and Ed for their help with Scilab code.
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