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 件のコメント

Image Analyst
Image Analyst 2012 年 10 月 16 日
Where did you upload your image?
Adela
Adela 2012 年 10 月 16 日
this was the adjusted brightness's histogram.
Image Analyst
Image Analyst 2012 年 10 月 16 日
OK - those are the histograms, but where did you upload your original grayscale images?
Adela
Adela 2012 年 10 月 16 日
I do not have the 'image' with me now, but i have the gray scale histogram.
Image Analyst
Image Analyst 2012 年 10 月 16 日
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 2013 年 1 月 18 日
編集済み: Image Analyst 2013 年 1 月 18 日
Try adaptive histogram equalization like adapthisteq().

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2012 年 10 月 16 日

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