1. 建立java文件
1
2
3
4
5
6
7
8
9
10
11
12
13
|
public class getimagefeature { static { system.loadlibrary( "getimagefeaturedll" ); } public native int getimagefeaturebyname(string filename); public native int getimagefeaturebymemory(); public static void main(string[] args) { getimagefeature test= new getimagefeature(); string filename = "d:/testpic/6af1399a64d10a399ad3247c01656bb7.jpg" ; system.out.println(test.getimagefeaturebyname(filename)); } } |
2. 切换到工程src文件夹
javac getimagefeature.java
javah getimagefeature
生成 getimagefeature.h 文件
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
|
/* do not edit this file - it is machine generated */ #include <jni.h> /* header for class getimagefeature */ #ifndef _included_getimagefeature #define _included_getimagefeature #ifdef __cplusplus extern "c" { #endif /* * class: getimagefeature * method: getimagefeaturebyname * signature: (ljava/lang/string;)i */ jniexport jint jnicall java_getimagefeature_getimagefeaturebyname (jnienv *, jobject, jstring); /* * class: getimagefeature * method: getimagefeaturebymemory * signature: ()i */ jniexport jint jnicall java_getimagefeature_getimagefeaturebymemory (jnienv *, jobject); #ifdef __cplusplus } #endif #endif |
3. vs2013建立dll工程
添加getimagefeature.h 头文件,再添加getimagefeature.cpp文件,实现对应函数(工程属性中需包含jdk下的include目录)
c:\program files\java\jdk1.8.0_20\include
c:\program files\java\jdk1.8.0_20\include\win32
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
|
#include "getimagefeaturedll.h" #include <opencv2/opencv.hpp> /* * class: getimagefeature * method: getimagefeaturebyname * signature: (ljava/lang/string;)i */ jniexport jint jnicall java_getimagefeature_getimagefeaturebyname (jnienv *env, jobject obj, jstring filename) { const char *str_filename; str_filename = env->getstringutfchars(filename, false); cv::mat image = cv::imread(str_filename); cv::imshow("test", image); cv::waitkey(20000); return 0; } /* * class: getimagefeature * method: getimagefeaturebymemory * signature: ()i */ jniexport jint jnicall java_getimagefeature_getimagefeaturebymemory (jnienv *, jobject) { return 0 ; } |
编译生成对应的dll
4. 执行java程序
将生成dll复制到java工程src文件夹下,java xx 运行程序
以上这篇java通过jni调用opencv处理图像的方法就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/ZengDong_1991/article/details/54312715