《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。
..
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 = $$PWD/android
$$ANDROID_OPENCV/jni/include/opencv \
$$ANDROID_OPENCV/jni/include/opencv2 \
$$ANDROID_OPENCV/jni/include \
$$ANDROID_OPENCV/libs/armeabi-v7a/libopencv_ml.a \
$$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_EXTRA_LIBS = \
D:/OpenCV-android-sdk/sdk/native/libs/armeabi-v7a/libopencv_java3.so
#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;
imwrite(destFile.toStdString(),src);
}
;
Canny( src, src, thresh, thresh, );
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//
