生物生产机器人-Practice
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Roberts
-1 -1 -1 -1 8 -1 -1 -1 -1 Laplacian
Option (Assignment 3: Show defect detection result
(Binary image) with original image.)
Submit today’s assignments by tomorrow morning.
Diameter of Area S circle
Area: S Feret’s diameter
Area S Original figure
Perimeter
Maximum length
Breadth
Area S Circle
Equivalent circle diameter (2 √S / π)
Equivalent circle diameter
……..
Shape analysis
Complexity (perimeter X perimeter/ S) Circularity factor (4πS/(perimeter X perimeter)) Occupancy (S /(Max length X Breadth)) Ratio of Max length/Breadth + Your original feature ………….
+ Discussions
1 2 3 4 5 6 7 8 9 10
Your grading result (your own judgement)
Objects for defects (Option)
Choose 1 tomato fruit and Defect detection.
R
G
B
R－G
R－B
G－B
Calculation among images
1 0 -1 1 0 -1 1 0 -1
Gradient
abc def ghi |(c+2f+i)-(a+2d+g) |+ |(g+2h+i)-(a+2b+c)| Sobel Edge detection operators
ab cd |d–a|+|b–c|
2. Chromaticity (simplified) (R/(R+G+B), G/(R+G+B))
3. HSI Hue, Saturation, Intensity
Objects for color
Choose 8 tomato fruits and make graphs.
Chromaticity
+ Discussions
Y (g)
Put fruit number
+5 3 ++ 4+ 2+ 1
Put fruit number
S
+1
2 + ++ 3
+4
5Biblioteka Baidu
x (r)
H
Objects for shape
Choose 10 tomato fruits and make graphs.
Size measurement
520 530 540 550 560 5７0 580 590
Simple calculation
x=R/(R+G+B) y=G/(R+G+B)
700-780
380-410
HSI models
I (V,L)
H S
Assignment 1: Make graphs of Chromaticity and HSI
Area S
Fy
Fx
Feret’s diameters
Breadth
Maximum length
Occupancy
Feature value
Assignment 2: Make graphs of shape analysis by at least three features (Hopefully create your original feature)
E-mail address: kondonao@kais.kyoto-u.ac.jp
Image Processing Practice
1. Color analysis (Graph) 2. Size measurement 3. Shape analysis (Graph) 4. Defect detection (Option)
Color analysis
1. RGB value
Save your report file with your name and number. Submit a hard copy made by MS word including the graphs, tomato images and discussions after printing by tomorrow’s lecture.
-1 -1 -1 -1 8 -1 -1 -1 -1 Laplacian
Option (Assignment 3: Show defect detection result
(Binary image) with original image.)
Submit today’s assignments by tomorrow morning.
Diameter of Area S circle
Area: S Feret’s diameter
Area S Original figure
Perimeter
Maximum length
Breadth
Area S Circle
Equivalent circle diameter (2 √S / π)
Equivalent circle diameter
……..
Shape analysis
Complexity (perimeter X perimeter/ S) Circularity factor (4πS/(perimeter X perimeter)) Occupancy (S /(Max length X Breadth)) Ratio of Max length/Breadth + Your original feature ………….
+ Discussions
1 2 3 4 5 6 7 8 9 10
Your grading result (your own judgement)
Objects for defects (Option)
Choose 1 tomato fruit and Defect detection.
R
G
B
R－G
R－B
G－B
Calculation among images
1 0 -1 1 0 -1 1 0 -1
Gradient
abc def ghi |(c+2f+i)-(a+2d+g) |+ |(g+2h+i)-(a+2b+c)| Sobel Edge detection operators
ab cd |d–a|+|b–c|
2. Chromaticity (simplified) (R/(R+G+B), G/(R+G+B))
3. HSI Hue, Saturation, Intensity
Objects for color
Choose 8 tomato fruits and make graphs.
Chromaticity
+ Discussions
Y (g)
Put fruit number
+5 3 ++ 4+ 2+ 1
Put fruit number
S
+1
2 + ++ 3
+4
5Biblioteka Baidu
x (r)
H
Objects for shape
Choose 10 tomato fruits and make graphs.
Size measurement
520 530 540 550 560 5７0 580 590
Simple calculation
x=R/(R+G+B) y=G/(R+G+B)
700-780
380-410
HSI models
I (V,L)
H S
Assignment 1: Make graphs of Chromaticity and HSI
Area S
Fy
Fx
Feret’s diameters
Breadth
Maximum length
Occupancy
Feature value
Assignment 2: Make graphs of shape analysis by at least three features (Hopefully create your original feature)
E-mail address: kondonao@kais.kyoto-u.ac.jp
Image Processing Practice
1. Color analysis (Graph) 2. Size measurement 3. Shape analysis (Graph) 4. Defect detection (Option)
Color analysis
1. RGB value
Save your report file with your name and number. Submit a hard copy made by MS word including the graphs, tomato images and discussions after printing by tomorrow’s lecture.