从2.4.4开始,OpenCV支持Java.
参考链接: http://docs.opencv.org/doc/tutorials/introduction/desktopjava/javadev_intro.html
从SourceForge可以获得依赖的文件。当然Windows用户最简单的方式是下载.exe文件安装。
对Window用户,在opencv/build/java/
文件夹下有所需的jar文件。对于其他用户,需要使用源文件进行编译。
在eclipse中使用Opencv,最简单的方式是在eclipse中建立一个用户Library。每次在使用opencv时,引入该Library。
来源:http://docs.opencv.org/doc/tutorials/introduction/javaeclipse/javaeclipse.html#java-eclipse
步骤:
1,Launch Eclipse and select Window –> Preferences
from the menu.
2,Navigate under Java –> Build Path –> User Libraries
and click New
....
3,Enter a name, e.g. OpenCV-2.4.6, for your new library.
4,Now select your new user library and click Add External JARs
....
5,Browse through C:\OpenCV-2.4.6\build\java\ and select opencv-246.jar. After adding the jar, extend the opencv-246.jar and selectNative library location
and press Edit
....
6,Select External Folder
... and browse to select the folder C:\OpenCV-2.4.6\build\java\x64. If you have a 32-bit system you need to select the x86 folder instead of x64.
7,Now start creating a new Java project.On the Java Settings
step, under Libraries tab, select Add Library
... and select OpenCV-2.4.6, then clickFinish
.
public class SampleCV {
public static void main(String[] args) {
System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
//读取图像,不改变图像的原始信息
Mat m = Highgui.imread("c:\\1.png",Highgui.CV_LOAD_IMAGE_COLOR);
//将图片转换成灰度图片
Mat gray = new Mat(m.size(),CvType.CV_8UC1);
Imgproc.cvtColor(m,gray,Imgproc.COLOR_RGB2GRAY);
//计算灰度直方图
List<Mat> images = new ArrayList<Mat>();
images.add(gray);
MatOfInt channels= new MatOfInt(0);
MatOfInt histSize = new MatOfInt(256);
MatOfFloat ranges= new MatOfFloat(0,256);
Mat hist = new Mat();
Imgproc.calcHist(images, channels, new Mat(), hist, histSize, ranges);
//mat求和
System.out.println(Core.sumElems(hist));
//保存转换的图片
Highgui.imwrite("c:\\2.png",gray);
}
}
在pom.xml中添加opencv的依赖如下:
<dependency>
<groupId>org.opencv</groupId>
<artifactId>opencv</artifactId>
<version>2.4.9</version>
<systemPath>C:/opencv/build/java/opencv-249.jar</systemPath>
<scope>system</scope>
</dependency>
然后在加载动态链接库时,不使用System.loadLibrary(xxx);
。 而是使用 绝对路径加载:System.load(xxx);
将Demo
中的System.loadLibrary(xxx);
用如下的两句话替换,其他无需改变:
String path = "C:\\opencv\\build\\java\\x64\\opencv_java249.dll";
System.load(path);
建立下面的build.xml,执行ant命令:
ant -DocvJarDir=X:\opencv-2.4.4\bin -DocvLibDir=X:\opencv-2.4.4\bin\Release、
或者直接将DocvJarDir,DocvLibDir硬编码到build.xml。
build.xml文件:
<property name="src.dir" value="src"/>
<property name="lib.dir" value="${ocvJarDir}"/>
<path id="classpath">
<fileset dir="${lib.dir}" includes="**/*.jar"/>
</path>
<property name="build.dir" value="build"/>
<property name="classes.dir" value="${build.dir}/classes"/>
<property name="jar.dir" value="${build.dir}/jar"/>
<property name="main-class" value="${ant.project.name}"/>
<target name="clean">
<delete dir="${build.dir}"/>
</target>
<target name="compile">
<mkdir dir="${classes.dir}"/>
<javac includeantruntime="false" srcdir="${src.dir}" destdir="${classes.dir}" classpathref="classpath"/>
</target>
<target name="jar" depends="compile">
<mkdir dir="${jar.dir}"/>
<jar destfile="${jar.dir}/${ant.project.name}.jar" basedir="${classes.dir}">
<manifest>
<attribute name="Main-Class" value="${main-class}"/>
</manifest>
</jar>
</target>
<target name="run" depends="jar">
<java fork="true" classname="${main-class}">
<sysproperty key="java.library.path" path="${ocvLibDir}"/>
<classpath>
<path refid="classpath"/>
<path location="${jar.dir}/${ant.project.name}.jar"/>
</classpath>
</java>
</target>
<target name="rebuild" depends="clean,jar"/>
<target name="rebuild-run" depends="clean,run"/>
</project>