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