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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

JamFF 2022-12-25 阅读 121
android图像处理OpenCVLinux系统/运维

《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
(0)​​课程1附件
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

课程2附件

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

课程3附件

    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//

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_图像处理

 

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

 

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