Hi All.

I am showing my project process here. Basically, I have a picture from Turkish Fest in Miami,2007. It is so noisy since the camera was not good. I am using some techniques which we are learning in Digital Image Processing Class. First step in my project is enhancement. I am already done that part. Next step in the project is segmentation and final step is interpretation. I would like to send my thanks to Dr. Hexmoor who teaches and encourages applying these useful methods very well.

In the first part let analyze my picture:

 

_GaussNoise1_GammaNoise2_sharp13_x0.jpg

 

You cannot see what is writing on my tshirt,right? However you can see the flag with star and moon.This is the flag of Turkey.(Turkiye).I had a watch on my left arm but is it really watch or wriststrap? As you see even tough you see the picture you cannot talk about the details of it. Enhancement is the way to highlight details which is not clear on original image.

Analyzing of the image is really important since it will give you idea where to start. So I got histogram for my image:

start.jpg_hist1.jpgHops!! I got 3 histogram. Actually this is normal because as you know we have 3 main color red green blue(RGB values) so for each of them I have different histogram. Now it looks  good idea to pass gray level.There are some reason for that: It is linear, easy to compute, and as you realized I don’t need to deal with three histogram any more instead I will take care of only one histogram.

                                                                                                                        

start.jpg_LumAvg3.jpg

 

This is gray level image for my original picture.

bsetD3