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
《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
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 \
$$ANDROID_OPENCV/jni/include \
$$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
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_ml.a \
$$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
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;
# 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//
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
