Book Image

OpenCV 3.0 Computer Vision with Java

By : Daniel Lelis Baggio
Book Image

OpenCV 3.0 Computer Vision with Java

By: Daniel Lelis Baggio

Overview of this book

Table of Contents (15 chapters)
OpenCV 3.0 Computer Vision with Java
About the Author
About the Reviewers

A Java OpenCV simple application

It's time to create a simple application that will show that we can now compile and execute Java code with OpenCV. Create a new Java class containing a Main method and paste the code given as follows. It simply creates a 5 x 10 OpenCV matrix, sets some of its rows and columns, and prints the result to the standard output.

Make sure you load the correct dynamic link libraries through a call to System.loadlibrary("opencv_java300"). Since, you might want to change the library version later, a better approach would be to use the Core.NATIVE_LIBARAY_NAME constant, which will output the correct library name. You can also find this file in the code repository for chapter1 of this book, under ant/src.

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.CvType;
import org.opencv.core.Scalar;

class SimpleSample {

  static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }

  public static void main(String[] args) {
    System.out.println("Welcome to OpenCV " + Core.VERSION);
    Mat m = new Mat(5, 10, CvType.CV_8UC1, new Scalar(0));
    System.out.println("OpenCV Mat: " + m);
    Mat mr1 = m.row(1);
    mr1.setTo(new Scalar(1));
    Mat mc5 = m.col(5);
    mc5.setTo(new Scalar(5));
    System.out.println("OpenCV Mat data:\n" + m.dump());


According to Oracle's documentation, it states that, class can have any number of static initialization blocks. And they can appear anywhere in the class body. The runtime system guarantees that static initialization blocks are called in the order that they appear in the source code.

You should make sure that any calls to the OpenCV library are preceded by a single System.loadLibrary call, in order to load the dynamic libraries. Otherwise, you will receive an java.lang.UnsatisfiedLinkError: org.opencv.core.Mat.n_Mat(IIIDDDD)J error. This generally occurs in a static block.

If everything goes well, you should see the following output in the console:

Welcome to OpenCV 3.0.0-rc1
OpenCV Mat: Mat [ 5*10*CV_8UC1, isCont=true, isSubmat=false, nativeObj=0x2291b70, dataAddr=0x229bbd0 ]
OpenCV Mat data:
[ 0, 0, 0, 0, 0, 5, 0, 0, 0, 0;
  1, 1, 1, 1, 1, 5, 1, 1, 1, 1;
  0, 0, 0, 0, 0, 5, 0, 0, 0, 0;
  0, 0, 0, 0, 0, 5, 0, 0, 0, 0;
  0, 0, 0, 0, 0, 5, 0, 0, 0, 0]