Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Bit Slicing (Dilimleme) Pikseller, bitlerden meydana gelen sayılardır. Bir görüntüyü tanımlarken parlaklık aralığını tari etmektense, görüntüyü oluşturmaya katkı sağlayan bitleri ön plana çıkararak belirtmek mümkündür. 2002 R. C. Gonzalez & R. E. Woods
Bit Slicing (Dilimleme)
Bit Slicing (Dilimleme)
Bit Slicing (Dilimleme)
Bit Slicing (Dilimleme)
Bit Slicing (Dilimleme)
3. Bölüm Uzaysal Domende İmge Zenginleştirme 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Yerel zenginleştirme yönteminin bir özeti aşağıdaki gibidir : (,y) koordinatlarındaki bir pikselin değeri (,y) ise bu pikselin zenginleştirildikten sonraki yeni değeri g(,y) şöyle verilebilir: Eğer msy k0 OK VE k1sk σsy k2 SK ise ; g (,y) = E (,y) Diğer durumlarda ise ; g (,y) = (,y) 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
The logic operations AND, OR, and NOT orm a complete set, meaning that any other logic operation (XOR; NOR, NAND) can be created by a combination o these basic elements. They operate in a bit-wise ashion on piel data. EXAMPLE: We are perorming a logic AND on two images. Two corresponding piel values are 11110 in one image and 8810 in the second image. A= 11110 = 011011112 011011112 B= 8810 = 010110002 AND 010110002 010010002 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
= 6 4 2 5 4 3 7 4 3 I 1 = 5 5 3 6 2 4 6 6 6 I 2 = + + + + + + + + + = 11 9 5 11 6 7 13 10 9 5 6 5 4 3 2 6 5 2 4 4 3 6 7 6 4 6 3 I 3
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
İmge Ortalaması (,y) imgesine η(,y) gürültüsü eklendiğinde oluşan imgenin g (,y) olduğunu düşünelim. g (,y) = (,y) + η(,y) = = K i i y g K y g 1 ), ( 1 ), ( { } ), ( ), ( y y g E = 2 ), ( 2 ), ( 1 y y g K η σ σ = ), ( ), ( 1 y y g K η σ σ =
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
R = w z1 + w2 z2 +... + w mn z mn = mn w i z R = w1 r + w r +... + w r i = 1 i = 1 i 1 2 2 9 9 = 9 1 w i r i 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Piksel değerleri: (10, 20, 20, 20, 15, 20, 20, 25, 100) ise Sıralanınca : (10, 15, 20, 20, 20, 20, 20, 25, 100) olur. Tam ortadaki yani 5. değer olan 20 merkezdeki piksele atanır. 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Tek boyutlu () onksiyonunun birinci dereceden türevinin tanımı ark tır. Yani: ) ( 1) ( + = İkinci dereceden türev yine ark olarak tanımlanır: ) ( 2 1) ( 1) ( 2 2 + + =
Eğer Laplace maskesinin merkez katsayısı negati ise Eğer Laplace maskesinin merkez katsayısı poziti ise 2 2 2 2 2 y y + = ), ( 2 ) 1, ( ) 1, ( 2 2 y y y + + = ), ( 2 1), ( 1), ( 2 2 y y y y + + = [ ] ), ( 4 1), ( 1), ( ) 1, ( ) 1, ( 2 y y y y y + + + + + = + = ), ( ), ( ), ( ), ( ), ( 2 2 y y y y y g
Sadeleştirmeler: [ ] ), ( 4 1), ( 1), ( ) 1, ( ) 1, ( ), ( ), ( y y y y y y y g + + + + + + = [ ] 1), ( 1), ( ) 1, ( ) 1, ( ), ( 5 + + + + + = y y y y y
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods
Chapter 3 Image Enhancement in the Spatial Domain 2002 R. C. Gonzalez & R. E. Woods