基于qml创建最简单的图像处理程序-使用opencv&qml进行图像处理

Posted 2020-10-22 GreenOpen专注图像处理

《基于qml创建最简单的图像处理程序》系列课程及配套代码
基于qml创建最简单的图像处理程序（1）-基于qml创建界面
http://www.cnblogs.com/jsxyhelu/p/8343310.html
课程1附件
https://files.cnblogs.com/files/jsxyhelu/%E9%98%B6%E6%AE%B5%E4%BB%A3%E7%A0%811.zip
基于qml创建最简单的图像处理程序（2）-使用c++&qml进行图像处理
http://www.cnblogs.com/jsxyhelu/p/8361441.html
课程2附件
https://files.cnblogs.com/files/jsxyhelu/%E9%98%B6%E6%AE%B5%E4%BB%A3%E7%A0%812.zip
基于qml创建最简单的图像处理程序（3）-使用opencv&qml进行图像处理
http://www.cnblogs.com/jsxyhelu/p/8361443.html
课程3附件
https://files.cnblogs.com/files/jsxyhelu/%E9%98%B6%E6%AE%B5%E4%BB%A3%E7%A0%813.zip

    在qml的系统中引入OpenCV，最复杂的地方在于环境的配置—一旦错误，系统即使能够编译成功，但是也会在启动的闪退；本文主要就是讲解在qml的系统（目标平台为android,编码平台为windows)中如何正确配置OpenCV环境，并且将（2）中的图像处理结果进一步修改成为使用OpenCV来进行图像处理的结果;对于QT来说，实际上说的就是如何配置.pro文件。

 

一、环境配置，可以参考：

QT += quick
CONFIG += c++11

android {
message("Using android configuration")
ANDROID_OPENCV = D:/OpenCV-android-sdk/sdk/native

INCLUDEPATH += \\
$$ANDROID_OPENCV/jni/include/opencv    \\
$$ANDROID_OPENCV/jni/include/opencv2    \\
$$ANDROID_OPENCV/jni/include            \\

LIBS += \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_ml.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_objdetect.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_calib3d.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_video.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_features2d.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_highgui.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_flann.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_imgproc.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_core.a     \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibjpeg.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibpng.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibtiff.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibjasper.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/libtbb.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/libtegra_hal.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_java3.so
}
# The following define makes your compiler emit warnings if you use
# any feature of Qt which as been marked deprecated (the exact warnings
# depend on your compiler). Please consult the documentation of the
# deprecated API in order to know how to port your code away from it.
DEFINES += QT_DEPRECATED_WARNINGS

# You can also make your code fail to compile if you use deprecated APIs.
# In order to do so, uncomment the following line.
# You can also select to disable deprecated APIs only up to a certain version of Qt.
#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000    # disables all the APIs deprecated before Qt 6.0.0

SOURCES += main.cpp \\
    imageProcessor.cpp

RESOURCES += qml.qrc

# Additional import path used to resolve QML modules in Qt Creator\'s code model
QML_IMPORT_PATH =

# Additional import path used to resolve QML modules just for Qt Quick Designer
QML_DESIGNER_IMPORT_PATH =

# Default rules for deployment.
qnx: target.path = /tmp/$${TARGET}/bin
else: unix:!android: target.path = /opt/$${TARGET}/bin
!isEmpty(target.path): INSTALLS += target

HEADERS += \\
    imageProcessor.h

DISTFILES += \\
    android/AndroidManifest.xml \\
    android/gradle/wrapper/gradle-wrapper.jar \\
    android/gradlew \\
    android/res/values/libs.xml \\
    android/build.gradle \\
    android/gradle/wrapper/gradle-wrapper.properties \\
    android/gradlew.bat

contains(ANDROID_TARGET_ARCH,armeabi-v7a) {
    ANDROID_EXTRA_LIBS = \\
        D:/OpenCV-android-sdk/sdk/native/libs/armeabi-v7a/libopencv_java3.so
}

ANDROID_PACKAGE_SOURCE_DIR = $$PWD/android

 

 

其中标红加粗的两个地方，是尤其需要注意进行修改的地方，分别对于

配置环境变量，当然你要根据你实际的地址来修改

ANDROID_OPENCV = D:/OpenCV-android-sdk/sdk/native

配置InClude地址

INCLUDEPATH += \\
$$ANDROID_OPENCV/jni/include/opencv    \\
$$ANDROID_OPENCV/jni/include/opencv2    \\
$$ANDROID_OPENCV/jni/include            \\

配置Libs地址

LIBS += \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_ml.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_objdetect.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_calib3d.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_video.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_features2d.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_highgui.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_flann.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_imgproc.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_core.a     \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibjpeg.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibpng.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibtiff.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/liblibjasper.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/libtbb.a \\
$$ANDROID_OPENCV/3rdparty/libs/armeabi-v7a/libtegra_hal.a \\
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_java3.so

尤其需要注意，这个顺序不能够错。

最后，还要将libopencv_java3.so当都付到.apk文件中

contains(ANDROID_TARGET_ARCH,armeabi-v7a) {
    ANDROID_EXTRA_LIBS = \\
        D:/OpenCV-android-sdk/sdk/native/libs/armeabi-v7a/libopencv_java3.so

 

二、引入头文件和命名空间，修改算法函数：

直接在头文件中引入头文件，并且表明命名空间

#ifndef IMAGEPROCESSOR_H
#define IMAGEPROCESSOR_H
#include <QObject>
#include <QString>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
using namespace std;

 

按照前文所说，修改相关算法函数。因为本来函数都是以路径作为输入输出的，所以这里的操作比较简单。这里得到的算法名称可能和实际不一致，问题不大：

 

//具体的图像处理算法,注意图片处理的结果直接保存到了destFile中去//
static void _gray(QString sourceFile, QString destFile)
{
    Mat src = imread(sourceFile.toStdString());
    cv::cvtColor(src,src,COLOR_BGR2GRAY);
    imwrite(destFile.toStdString(),src);
}

static void _binarize(QString sourceFile, QString destFile)
{
    Mat src = imread(sourceFile.toStdString());
    cv::cvtColor(src,src,COLOR_BGR2GRAY);
    threshold(src,src,100,255,THRESH_OTSU);
    imwrite(destFile.toStdString(),src);
}


static void _emboss(QString sourceFile, QString destFile)
{
    Mat src = imread(sourceFile.toStdString());
    cv::cvtColor(src,src,COLOR_BGR2GRAY);
    int thresh = 100;
    Canny( src, src, thresh, thresh*2, 3 );
    imwrite(destFile.toStdString(),src);
}
//END 具体的图像处理算法,注意图片处理的结果直接保存到了destFile中去//

 

这里得到的就是一个canny的效果，也是通过调用OpenCV才得到的结果。那么这样一个框架就建立了。感谢阅读至此！希望有所帮助