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OpenCv & Android
Working with images

Badrinath Kulkarni
GDG Bangalore
What is OpenCv ?
Open Source Computer Vision Library
OpenCV is an open source computer vision and machine learning software
library.
Windows, Linux/Mac, Android, IOS
Current version 2.4.6
Using in Android
Installation 1/3
Download OpenCv from SourceForge. Currently it’s OpenCV-2.4.6-android-sdk.zip
Installation 2/3
Import OpenCV library and samples to
the Eclipse.

• Library
• Samples

Android NDK must be
installed & configured.
OpenCv Manager
• Published on
Google Play
• Compact apk-size
• Hardware specific
optimizations
• Automatic updates
Sudoku App
Pre - processing
Java

Imgproc.medianBlur(src, dst, 3);

input.jpg

median_3x3.jpg
Registration
Registration is the determination of a geometrical transformation that aligns
points in one view of an object with corresponding points in another view of that
Object.

input.jpg

registered_image.jpg | size : 640X640
Step 1/4 : Detect horizontal lines
Java

Imgproc.Sobel(src, dst, ddepth, dx, dy, ksize, scale, delta);

medin_3x3.jpg

sobel_horizontal.jpg

sobel_horizontal_binarized.jpg
Step 2/4 : Detect vertical lines
Java

Imgproc.Sobel(src, dst, ddepth, dx, dy, ksize, scale, delta);

medin_3x3.jpg

sobel_vertical.jpg

sobel_vertical_binarized.jpg
Step 3/4 : Detect corner points

Imgporc.HoughLinesP();

Detect periphery lines

Imgporc.HoughLinesP();

Java

Imgproc.HoughLinesP(image, lines, rho, theta, threshold,
minLineLength, maxLineGap);
Step 4/4 : Homography
Java

Mat transformM = Calib3d.findHomography(srcPts, dstPts);

src points : intersection points
dst points : (1,1) (1,640) (640,1) (640,640)

median_3x3.jpg
registered_image.jpg | size : 640X640
Java

Imgproc.warpPerspective(src, dst, transformM, dsize);
Thresholding
Java

Imgproc.adaptiveThreshold(src, dst, maxValue, adaptiveMethod, thresholdType, blockSize, delta);

registered_image.jpg

threshold_image.jpg
Number detection 1/2
Remove unwanted lines.

threshold_image.jpg

data_image.jpg
Number detection 2/2

NCC ~ 1

Java

Imgproc.findContours(image, contours, hierarchy, mode, method);
Imgproc.boundingRect(contourPoints);
Imgproc.resize(src, dst, dsize);
Final output
The extracted matrix can be given to any Sudoku solver engine and the solved output can be
shown to the user.
5

6
5

6
2

7

3
1

1
6

8

4

5
7

3

6

2
6

1

4

9

8

9
9

9X9 matrix with data from the image
Thank You!

badrinath@gtugs.org

http://ibadrinath.in
@ibadrinath

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OpenCV on Android

  • 1. OpenCv & Android Working with images Badrinath Kulkarni GDG Bangalore
  • 2. What is OpenCv ? Open Source Computer Vision Library OpenCV is an open source computer vision and machine learning software library. Windows, Linux/Mac, Android, IOS Current version 2.4.6
  • 3.
  • 5. Installation 1/3 Download OpenCv from SourceForge. Currently it’s OpenCV-2.4.6-android-sdk.zip
  • 6. Installation 2/3 Import OpenCV library and samples to the Eclipse. • Library • Samples Android NDK must be installed & configured.
  • 7. OpenCv Manager • Published on Google Play • Compact apk-size • Hardware specific optimizations • Automatic updates
  • 9. Pre - processing Java Imgproc.medianBlur(src, dst, 3); input.jpg median_3x3.jpg
  • 10. Registration Registration is the determination of a geometrical transformation that aligns points in one view of an object with corresponding points in another view of that Object. input.jpg registered_image.jpg | size : 640X640
  • 11. Step 1/4 : Detect horizontal lines Java Imgproc.Sobel(src, dst, ddepth, dx, dy, ksize, scale, delta); medin_3x3.jpg sobel_horizontal.jpg sobel_horizontal_binarized.jpg
  • 12. Step 2/4 : Detect vertical lines Java Imgproc.Sobel(src, dst, ddepth, dx, dy, ksize, scale, delta); medin_3x3.jpg sobel_vertical.jpg sobel_vertical_binarized.jpg
  • 13. Step 3/4 : Detect corner points Imgporc.HoughLinesP(); Detect periphery lines Imgporc.HoughLinesP(); Java Imgproc.HoughLinesP(image, lines, rho, theta, threshold, minLineLength, maxLineGap);
  • 14. Step 4/4 : Homography Java Mat transformM = Calib3d.findHomography(srcPts, dstPts); src points : intersection points dst points : (1,1) (1,640) (640,1) (640,640) median_3x3.jpg registered_image.jpg | size : 640X640 Java Imgproc.warpPerspective(src, dst, transformM, dsize);
  • 15. Thresholding Java Imgproc.adaptiveThreshold(src, dst, maxValue, adaptiveMethod, thresholdType, blockSize, delta); registered_image.jpg threshold_image.jpg
  • 16. Number detection 1/2 Remove unwanted lines. threshold_image.jpg data_image.jpg
  • 17. Number detection 2/2 NCC ~ 1 Java Imgproc.findContours(image, contours, hierarchy, mode, method); Imgproc.boundingRect(contourPoints); Imgproc.resize(src, dst, dsize);
  • 18. Final output The extracted matrix can be given to any Sudoku solver engine and the solved output can be shown to the user. 5 6 5 6 2 7 3 1 1 6 8 4 5 7 3 6 2 6 1 4 9 8 9 9 9X9 matrix with data from the image