Medical Imaging Mohammad Dawood Department of Computer Science University of Münster Germany
2 Medical Imaging, SS-2011 Mohammad Dawood Recap
3 Medical Imaging, SS-2011 Mohammad Dawood Grayscale transformations 1.Linear 2.Logarithmic 3.Power law Point operations Local operators 1.Histogram Equalization 2.Adpative/Local Hist Eq 3.Color space 4.Fourier transform 5.Spatial filtering
4 Medical Imaging, SS-2011 Mohammad Dawood Edge detection
5 Medical Imaging, SS-2011 Mohammad Dawood *=*= Recognizing the edge
6 Medical Imaging, SS-2011 Mohammad Dawood *=*= Increasing edge thickness - easier to detect and better connected edges
7 Medical Imaging, SS-2011 Mohammad Dawood *=*= Strengthening the edges
8 Medical Imaging, SS-2011 Mohammad Dawood Edge detection with spatial operators Prewitt operators
9 Medical Imaging, SS-2011 Mohammad Dawood Adding operators =+=
10 Medical Imaging, SS-2011 Mohammad Dawood Derivatives of an image Magnitude of gradient: Angle:
11 Medical Imaging, SS-2011 Mohammad Dawood 1 First derivative Forward difference Backward difference Central difference MRI Spinefw bw cdbw_i bw+bw_i
12 Medical Imaging, SS-2011 Mohammad Dawood Laplace operator H+V Laplace
13 Medical Imaging, SS-2011 Mohammad Dawood Cardiac PET
14 Medical Imaging, SS-2011 Mohammad Dawood Gaussian+Gradient *=*=
15 Medical Imaging, SS-2011 Mohammad Dawood Sobel operators Edge detection with spatial operators
16 Medical Imaging, SS-2011 Mohammad Dawood =+=
17 Medical Imaging, SS-2011 Mohammad Dawood Scharr operators Edge detection with spatial operators
18 Medical Imaging, SS-2011 Mohammad Dawood Roberts operators Edge detection with spatial operators +
19 Medical Imaging, SS-2011 Mohammad Dawood Canny operator Gaussian for noise reduction Calculation of edges in four directions (sobel operator) non-maximum suppression angle zero: if intensity >the intensities in the N and S directions angle is 90: if intensity >the intensities in the W and E directions angle is 135: if intensity >the intensities in the NE and SW directions angle is 45 degrees: if intensity >the intensities in the NW and SE directions
20 Medical Imaging, SS-2011 Mohammad Dawood Canny operatorth=0.5 th=0.1
21 Medical Imaging, SS-2011 Mohammad Dawood Marr-Hildreth operator Laplace of the Gaussian (LoG)
22 Medical Imaging, SS-2011 Mohammad Dawood Marr Hildreth operator sigma=1 sigma=2
23 Medical Imaging, SS-2011 Mohammad Dawood Marr Hildreth operator
24 Medical Imaging, SS-2011 Mohammad Dawood Hough Transform
25 Medical Imaging, SS-2011 Mohammad Dawood Hough transform for detecting lines A line can be defined as: Take the edge map of the image I Look for the neighbors of a pixel and determine m and b Accumulate the m and b in an accumulator array Find the maxima of the accumulator array Transform them back to image space
26 Medical Imaging, SS-2011 Mohammad Dawood Hough transform for detecting lines Alternative definition of lines
27 Medical Imaging, SS-2011 Mohammad Dawood Hough transform Similar transforms can be defined for circles, ellipses or other parametric curves
28 Medical Imaging, SS-2011 Mohammad Dawood Morphological operations
29 Medical Imaging, SS-2011 Mohammad Dawood Morphological operators Operations are based on Set Theory and require a structure element Basic morphological operations are: 1.Erosion 2.Dilation 3.Opening 4.Closing
30 Medical Imaging, SS-2011 Mohammad Dawood Erosion If A is an image and B is a structure element then X
31 Medical Imaging, SS-2011 Mohammad Dawood Dilation X
32 Medical Imaging, SS-2011 Mohammad Dawood Closing Dilation + Erosion
33 Medical Imaging, SS-2011 Mohammad Dawood Opening Erosion + Dilation