How to calculate the pixel density of a sampled binary image

asked 2013-06-02 15:21:12 -0600

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updated 2013-06-03 03:47:08 -0600

hi, this may be a very simple matter, but i have conflict with that. I have split a particular binary image(28 x 28) into (4 x 4) samples. Now i want to calculate the pixel densities of each sample(i use those density values as features in a OCR application). As i know density defines the number of pixels in a particular area, like 7 pixels per square inch. Is that the same in here? all of my samples have 4 pixels. Is there are relationship between Moment->m00 and pixel density ? can someone explain this ? plz help

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answered 2013-06-03 05:25:28 -0600

berak
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"As i know density defines the number of pixels in a particular area, like 7 pixels per square inch"

that's constant, and not related at all to the image's content.

you probably mean the density of "on" pixels, or the ratio of black/white pixels within your 7x7 patch. that, again would indeed be related to moments->m00 ( which is the covered area == number of "on" pixels)