1. C# CARTOON APPLICATION
Miles Lamensky

2. Accepting Demo Pics
( <600x400 )

3. Outline Definition and Requirements Solutions Methodology
Real-Time Demo
Exceptions
Learning and Development Process

4. Definition and Requirements
Project: Develop an application that makes cartoon like images from pictures. General Requirements: 1. Take an image and convert it to a cartoon like image using rotoscoping techniques. 2. Implement save and open functions. 3. Examine several rotoscoping algorithms and design your own. 4. Control the contrast, tint and intensity of the cartoon. 5. Choose a finite number of colors. 6. Actually choose the specific colors. 7. Implement a mobile version. 9. Consider showing the cartoon image as a preview before taking the picture.

5. Solutions

6. Solutions cont…

7. Methodology
Image Format Conversation (Bitmap->Array, Bitmap->Image, etc.)
Original Image -> Grayscale
Sobel (Damian Wegner, 2005:
Palette Quantizer, Median Cut (Smart K8:

8. targetImage = Sobel_Process(targetImage);
Image targetImage = GetQuantizedImage(sourceImage);
Bitmap grayed = ToGrayscale(img); InitializeSolidBW(BWArray, grayed);
Merge(SobelData, img);
Sobel(SobelData, BWArray);

9. Real-Time Demo

10. Learning and Development Process
Strategies
Extensions
Knowledge
Advice

11. Strategies 1 Cursory/Playful Exploration + recursive sweeps
+ averaging neighbors
+ color comparison
THE BAD:
+ time
effectiveness 1

12. 2
openCV
+ Hough Transform

13. 3
Sobel
+ Working Edge Detection
+ Noise Reduction Attempts (Median Cut)

14. 4
Recursive Technique + Sobel
THE BAD:
+ too many colors
+ still too much time

15. 5
Color Quantization + Sobel

16. Exceptions Global Variables* BIG Files* Color Leakage
Thickening Detected Edges
Post-Edge Noise Reduction
Already Low-Quality Images

17. Color Leakage + Color mixing when too few colors Possible Fixes:
Edge Detection First

18. Thickening Detected Edges
Possible Fixes:
Alter Sobel Function
SobelData[y1, x1] = sum;
//FEEBLE ATTEMPT TO THICKEN EDGE; FAIL
//SobelData[y1-1, x1-1] = sum; //SobelData[y1, x1 - 1] = sum;
//SobelData[y1 - 1, x1] = sum;
//SobelData[y1 + 1, x1 + 1] = sum;
//SobelData[y1 + 1, x1] = sum;
//SobelData[y1, x1 + 1] = sum;
//SobelData[y1 + 1, x1 - 1] = sum;
//SobelData[y1 - 1, x1 + 1] = sum;

19. Post-Edge Noise Reduction
Possible Fixes:
Noise Reduction Algorithms
Noise Reduction

20. Already Low-Quality Images
The purpose of a color quantization!!!

21. Knowledge Android (-_-) C# (*) Color Comparison RGB openCV
Hough Transform
Visual Basic
Sobel
Color Quantization
Median Cut

22. For Future Friends
Android
Real-Time Conversion (Video)

23. Advice Borrow Shamelessly (i.e. Steal Adapt) Make a !@#$@ Plan
Read the Project Outline
Swallow Pride (i.e. ???’s)
Error Blog
Step Back
Alternate
Alcohol (if of age)

24. Hey. Thanks.