Download presentation

Presentation is loading. Please wait.

Published byCristobal Gallimore Modified about 1 year ago

1
DREAM PLAN IDEA IMPLEMENTATION 1

2
2

3
3 Introduction to Image Processing Dr. Kourosh Kiani Web: Present to: Amirkabir University of Technology (Tehran Polytechnic) & Semnan University

4
Lecture 04 4

5
Algebraic operations used for images are commonly viewed in two groups; mathematical and logical operations. Image adding, subtracting, dividing and multiplying operations constitute mathematical processing and “AND, OR, NOT” etc. operations forms logical operations. SIMPLE ALGEBRAIC OPERATIONS in IMAGES

6
……… …a4a3 …a2a1 ……… …b4b3 …b2b1 a4 +b4 a3 +b3 a2 +b2 a1 +b1 + = ……… …a4a3 …a2a1 a4 +10 a3 +10 a2 +10 a = 10

7

8
Reduce noise (increase SNR) averaging, smoothing =

9
I = imread(‘rice.tif’); J = imread(‘cameraman.tif’); K = imadd(I, J); imshow(K) Or i=imread('rice.png'); j=imread('cameraman.tif'); k=i+j; imshow(k);

10
I = imread('kourosh.jpg'); figure(1); imshow(I); I2 = imadd(I, 70); figure(2); imshow(I2); + 70 =

11
Image Averaging Consider a noisy image g(x,y) formed by the addition of noise (x,y) to an original image f(x,y) g(x,y) = f(x,y) + (x,y)

12
Image Averaging If noise has zero mean and is uncorrelated then it can be shown that = image formed by averaging K different noisy images

13
Image Averaging Then = variances of g and Then if K increase, it indicates that the variability (noise) of the pixel at each location (x,y) decreases.

14
Average multiple images (frames) of the same scene together Useful for removing noise =

15
X = Y = Z = X = uint8([ ; ]); Y = uint8([ ; ]); Z = imsubtract(X,Y) Image Subtracting

16
rice = imread('rice.png'); figure (1) imshow(rice); background = imopen(rice, strel('disk', 15)); figure (2) imshow(background); rice2 = imsubtract(rice, background); figure (3) imshow(rice2); - =

17
- 70 = I = imread('kourosh.jpg'); J = imsubtract(I,70); Figure(1), imshow(I), Figure(2), imshow(J) Image Subtracting

18
_ = Digital subtraction angiography (DSA) Image Subtracting

19
Digital subtraction angiography (DSA) Image Subtracting

20
X = Y = Z = X = uint8([ ; ]); Y = uint8([ 5 5 5; ]); Z = immultiply(X,Y) Image Multiplying

21
I = imread('moon.tif'); figure(1) imshow(I) J = immultiply(I,0.5); figure(2) imshow(J) * 0.5 =

22
X = Y = Z = X = uint8([ ; ]) Y = uint8([ 5 5 5; ]) Z = imdivide(X,Y) Image Dividing

23
I = imread('rice.png'); figure(1), imshow(I); background = imopen(I,strel('disk',15)); figure(2), imshow(background); Ip = imdivide(I,background); figure(3), imshow(Ip, []); ÷ =

24
Image Dividing ÷ 2 = I = imread('rice.png'); J = imdivide(I,2); figure(1), imshow(I) figure(2), imshow(J)

25
Questions? Discussion? Suggestions ?

26
26

Similar presentations

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google