12 mhj/ 16-06-20041 optimal color representation of multi spectral data m.l.h. van driel s462760...
TRANSCRIPT
Apr 18, 2023 1
Optimal Color Representation of Multi
Spectral Data
M.L.H. van Driel s462760Supervisors:P. SeredaProf. B.M. ter Haar Romeny
Apr 18, 2023 2
Contents• Introduction• Artherosclerotic plaques• Color Models
– RGB– HSV– CIE Lab
• Methods & Results• Conclusions• Discussion• Recommendations
Apr 18, 2023 3
Introduction
• From gray scale to multi spectral color images should improve the possibilities for tissue recognition and classification.
• Examples are multi spectral MRI measurements for artherosclerotic plaque classifications in medium and large arteries.
Apr 18, 2023 S.v.d.Ven (2004) 4
Artherosclerotic plaques
• Stable – Vulnerable• Important tissues
– Calcification– Fibrous tissue– Hemorrhage– Lipid– Lumen
Apr 18, 2023 5
Color Models
• RGB(Red Green Blue)
• HSV(Hue Saturation Value)
• CIE Lab(Commission Internationale d`Eclaraige
Lab)
Apr 18, 2023 http://www.bodoni.co.uk/colourworkshop.html
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Color Models - RGB
• Primary colors• Range 0-255 (0-1)• Device dependant
Apr 18, 2023 http://www.ncsu.edu/scivis/lessons/colormodels/color_models2.html
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Color Models - HSV
• Hue: color• Saturation:
dominance of hue• Value: lightness –
darkness• Range (0-1)
Apr 18, 2023 http://www.colourware.co.uk/cpfaq/q3-21.htm
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Color Models – CIE Lab
• L – Lightness (0-100)• a – green red (-/+100)• b – blue yellow
(-/+100)• Device independent• Difference between 2
colors in the Lab space is an indication of the contrast
Apr 18, 2023 9
Methods & Results
• Input– Matching– Histogram Equalization
• The Optimal Color Model and Configuration
Apr 18, 2023 10
Methods & Results - Input
• 8 sets of 5 images with 3 tissues classified– T1 weighted (2D) TSE (1)– PD weighted TSE (2)– T1 weighted (3D) TFE (3)– Partial T2 weighted TSE (4)– T2 weighted TSE (5)
Apr 18, 2023 11
Methods & Results - input
• Matching– Same regions in different images should have the same
locations
• Histogram EqualizingHSV HSV HE
Apr 18, 2023 *http://www.cs.rit.edu/~ncs/color/t_convert.html
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Methods & Results – The Optimal Color Model and
Configuration• Comparing the different Color Models
– Converting RGB and HSV to CIE Lab *
• Calculating the distances between the tissues
221
221
221 bbaaLL
Apr 18, 2023 13
Methods & Results – The Optimal Color Model and
Configuration• Red = CIE Lab• Green = RGB• Blue = HSV
20 40 60 80Mean
20
40
60
80
Minimal Distance
Apr 18, 2023 14
Methods & Results – The Optimal Color Model and
Configuration• Maximum of the minimal distance
– Cut off 30stepsize 30
Apr 18, 2023 15
Methods & Results – The Optimal Color Model and
ConfigurationGood configurations? the configurations
{{3,1,2},{3,2,1},{5,2,1},{5,1,2}} were found within the boundary conditions in 7 out of 8 cases (all within the Lab Color Model)
Lab 3 Lab 5
Lab 3 Lab 5
Apr 18, 2023 16
Conclusions
• To distinguish just arbitrary tissues CIE Lab is an appropriate Color Model
• In specific cases there can be better settings (in CIE Lab or even HSV) than in the arbitrary case
• RGB should not be considered an option
Apr 18, 2023 17
Discussion
• No Golden Truth• “Cut off 30” at least questionable• Histogram Equalization?• Other input
Apr 18, 2023 20
Recommendations
• 5D instead of 3D input• Differentiate for distinguishing
different tissues• Alternative for Histogram
Equalization• Other inputs