Optical Recognition Project [IMAGE PROCESSING METHOD]

Hi. i am dealing on OCR project and my task is to extract the darkest part of the image(which is my object) the common beginning process was, rgb->gray->image processing->binary
For image processing, i tried adjusting brightness method. when i display a histogram of it, value mainly were at the right side(white), my prof didn't see any at the left side(dark) which is the darkest side that we want. therefore, he says it doesn't seems a need to use adjusting brightness method. Can someone suggest a image processing method that i try?
thanks!

6 Kommentare

Where did you upload your image?
Adela
Adela am 16 Okt. 2012
this was the adjusted brightness's histogram.
OK - those are the histograms, but where did you upload your original grayscale images?
Adela
Adela am 16 Okt. 2012
I do not have the 'image' with me now, but i have the gray scale histogram.
But aren't the numbers you are going to classify in your grayscale images? And I can't tell what's the best approach to background correction if all I have is the histogram.
KIRAN kumar
KIRAN kumar am 18 Jan. 2013
Bearbeitet: Image Analyst am 18 Jan. 2013
Try adaptive histogram equalization like adapthisteq().

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