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

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            \

配置Libs地址

LIBS += \

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

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)

    threshold(src,src,100,255,THRESH_OTSU);

static void _emboss(QString sourceFile, QString destFile)

    int thresh = 100;

    Canny( src, src, thresh, thresh*2, 3 );

//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

目前方向：图像拼接融合、图像识别

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