1. LOGO

2. 
­­

­
[1] Rafael C.Gonzalez, Richard E.Woods, Steven, L. Eddins, “Digital Image
Processing Using Matlab”, Prentice Hall 2006.

5. ­­
­­
­
­

6. ­
­­
­RGBXYZHSVCMY(K)YIQ
YCbCrLab
­
CMY
YCbCr­

7. ­
­
­­­
RGB
­
YIQY
­

8. RGB
RGB
RGBM*N*3
RedGreenBlue
­­

9. RGB
RGB­­
­
RGB
­RGB

10. img=imread('kuhdasht (15).JPG');
figure(1),subplot(221),imshow(img);
subplot(222),imshow(img(:,:,1));
subplot(223),imshow(img(:,:,2));
subplot(224),imshow(img(:,:,3));

11. CMY(K)
RGBRGB
CMY
­CMY
­­­
­(Cyan)(Magenta)(Yellow)
­­
­­­
­
­
­­
­

12. ­­
RGB­CMY­

13. HSV
HSV
­
H (Hue)­.
­
S (Satuaration)
­
V (Value)­

14. HSV
­­

15. RGBHSV
RGB[4]
[4] Alasdair McAndrew, “An Introduction to Digital Image Processing with
Matlab”,

16. RGBHSVMatlab
Matlabrgb2hsvhsv2rgb­
RGBHSV
img=rgb2hsv(img2);
figure(1),subplot(221),imshow(img);
subplot(222),imshow(img(:,:,1));
subplot(223),imshow(img(:,:,2));
subplot(224),imshow(img(:,:,3));

17. YIQNTSC
YIQ­
­Y
IQ

18. YIQNTSC
Matlabrbg2ntscntsc2rgb­
rgbYIQ
Y
yiq=rgb2gray(RGB);

19. YIQNTSC

20. YCbCr
YCbCr­Y
CrCb­Cb
­Cr
­
RGBYCbCr­
0.299 0.587 0.114 R 0
0.169 0.334 0.500 * G 128
0.500 0.419 0.081 B 128
Y
Cb
Cr

21. YCbCr
Matlabrbg2ycbcrycbcr2rgb­
rgbycbcr

22. ­
m*3m
­
­

24. ­
­
­
­

27. R
RGB G
B
H
HSV S
V
Y
YIQ I
Q
­RGBYIQHSV

28. RGBHSVYIQ
RGB
RGB

29. RGB HSV YIQ
HSV
HSV

30. RGBHSVYIQ
YIQ
YIQ

31. MSE­
RGBHSVYIQ
MSEMSE
R
RGB
(Denoise 3
components)
G
B
H
HSV
(Denoise 3
components)
S
V
Y
YIQ
(Denoise 3
components)
I
Q

32. ­
Matlabmotion­
­

34. ­
RGBYIQHSV
R
RGB G
B
H
HSV S
V
Y
YIQ I
Q

35. DeblurringRGBMSE=0.00001

36. DeblurringYIQMSE=0.000004

37. DeblurringYYIQMSE=0.00007

40. ­
RGBHSVYIQ
R
RGB
G
B
H
HSV
S
V
Y
YIQ
I
Q

46. pseudo coloring
RGB

47. RGB
L

48. Gonzaleslook up table
look up table

49. 5
6
[5] J.Shi,J. Malik, “Normalized cuts and image segmentation”, In Proc. IEEE conf.
Computer Vision and Pattern Recognition,PP 731-737, 1997.
[6] D. Sykora, J. Burian, J. zara, “Segmentation of black and with cartoons”, In
proceedings of spring conference on computer graphics, pp. 245-254,2003.

50. [7]
Fuzzy C Means
­

52. LOGO