OpenCV on Android

•

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Presented at GDG Singapore DevFest 2013 on 12/10/2013, by Badrinath Kulkarni, GDG Bangalore. This talk mainly gives an introduction to basic image processing concepts and how the same can be implemented in Android apps using OpenCv framework.

Technologie Bildung

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

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

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

4. Using in Android

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

8. Sudoku App

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

19. Thank You! badrinath@gtugs.org http://ibadrinath.in @ibadrinath