1. Computational and Biological Vision Course, Semester A, 2006 2.3.06
Rinat Gotsulsky,
Roni Rabi,
2/3/2006
Rinat & Roni Segment Painter

2. Our Goal: Segmentation Painter Tool
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Rinat & Roni Segment Painter

3. Rinat & Roni Segment Painter
Background
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Rinat & Roni Segment Painter

4. Perceptual Organization
The ability of people to perceive structure in images exists apart from both the perception of 3D and from the recognition of familiar objects.
The action of organize the data even when we have no idea about the picture meaning is important to the Computational Vision and can help to analyze models (known & unknown)
We focus on Segmentation- one of its issues.
2/3/2006
Rinat & Roni Segment Painter

5. Rinat & Roni Segment Painter
Segmentation
The approach is to divide a single picture into components, objects, text, shading, colors etc.
We are trying to imitate the evolution solution to this approach.
Splitting an image into segments can be an extremely hard problem.
There are no unique definition and one picture can be explicit in billions ways.
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Rinat & Roni Segment Painter

6. Rinat & Roni Segment Painter
Example:
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Rinat & Roni Segment Painter

7. Where do we enter the picture?
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Rinat & Roni Segment Painter

8. Rinat & Roni Segment Painter
SegmentPainter Tool
We developed a toolkit enable people to separate picture to segments.
It enable us to learn about this process and later to apply this approach in computers systems.
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Rinat & Roni Segment Painter

9. The SegmentPainter Tool
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Rinat & Roni Segment Painter

10. Rinat & Roni Segment Painter
The SegmentPainter Tool
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Rinat & Roni Segment Painter

11. SegmentPainter Tool- technical details
The project is cross platform- written in Java language
More then 3000 code line
Support the following actions: File new, open, save, save as, close and exit.
Support in 4 recent files.
Support BMP, JPG, GIF and JPEG images
Support painting lines, curves and free hands (mouse motion)
Support 12 different colors
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Rinat & Roni Segment Painter

12. Rinat & Roni Segment Painter
A short experiment on how people interrupt pictures
Population: 3 groups of people:
Students who take this course.
Students who didn’t take and studding CS.
Other student (from other department).
Experiment: 6 people paint their segments interpretation of 3 pictures.
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Rinat & Roni Segment Painter

13. Rinat & Roni Segment Painter
Results
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Rinat & Roni Segment Painter

14. Rinat & Roni Segment Painter
2 Cs students that take vision course
2 Cs students with on vision course
2 Cs students out “Teva” department
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Rinat & Roni Segment Painter

15. Rinat & Roni Segment Painter
2 Cs students that take vision course
2 Cs students with on vision course
2 Cs students out “Teva” department
2/3/2006
Rinat & Roni Segment Painter

16. Rinat & Roni Segment Painter
2 Cs students that take vision course
2 Cs students with on vision course
2 Cs students out “Teva” department
2/3/2006
Rinat & Roni Segment Painter

17. Rinat & Roni Segment Painter
Conclusions
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Rinat & Roni Segment Painter

18. Rinat & Roni Segment Painter
Segmentation :
In our small research there is no one explanation for a paint.
The segmentation was similar in all of the groups and maybe its from the fact that we see and investigate picture all the time and not because experience and learning of computational vision.
Its not obvious to segment picture – its not a well done algorithm.
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Rinat & Roni Segment Painter

19. Rinat & Roni Segment Painter
Program SegmentPainter :
There are few must features that need to be added to our toolkit.
The mousses in computers lab must be replaced to better ones (optics).
Segmentation is very difficult to draw.
The Segmentation take a long time.
Need a good qualifications in painting to draw a segment picture.
2/3/2006
Rinat & Roni Segment Painter

20. Rinat & Roni Segment Painter
Thanks
for interesting course
2/3/2006
Rinat & Roni Segment Painter