e178-L5.ppt

e178-L5.ppt - Larger gain A (x,y) Local Enhancement 7 Fig...

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Local Enhancement 1 Local Enhancement • Local Enhancement • HW2 due Oct 9 • Required Reading: Sections 3.1 – 3.3 • Project groups: need to finalize soon (tomorrow?) Local Enhancement 2 Local enhancement Sometimes Local Enhancement is Preferred. Malab: BlkProc operation for block processing. Left: original “tire” image.
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Local Enhancement 3 Histogram equalized Local Enhancement 4 Local histogram equalized F=@ histeq ; I=imread(‘tire.tif’); J=blkproc(I,[20 20], F);
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Local Enhancement 5 Fig 3.23: Another example Local Enhancement 6 Local Contrast Enhancement Enhancing local contrast g (x,y) = A( x,y ) [ f (x,y) - m (x,y) ] + m (x,y) A (x,y) = k M / σ (x,y) 0 < k < 1 M : Global mean m (x,y) , σ (x,y) : Local mean and standard dev. Areas with low contrast
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Unformatted text preview: Larger gain A (x,y) Local Enhancement 7 Fig 3.27 Figure numbers refer to the second edition Local Enhancement 8 Fig 3.25 Figure numbers refer to the second edition Local Enhancement 9 Fig 3.26 Figure numbers refer to the second edition Local Enhancement 10 Image Subtraction g (x,y) = f (x,y) - h (x,y) h(x,y)a low pass filtered version of f(x,y). Application in medical imaging --mask mode radiography H(x,y) is the mask, e.g., an X-ray image of part of a body; f(x,y) incoming image after injecting a contrast medium. Local Enhancement 11 Subtraction: an example Figure numbers refer to the second edition Local Enhancement 12 Fig 3.28: mask mode radiography Figure numbers refer to the second edition...
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This note was uploaded on 12/28/2011 for the course ECE 178 taught by Professor Manjunath during the Fall '08 term at UCSB.

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e178-L5.ppt - Larger gain A (x,y) Local Enhancement 7 Fig...

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