Mopological operation

모폴로지 연산은 Structuring element를 이용하여 반복적으로 영역을 확장시켜 떨어진 부분 또는 구멍을 채우거나, 잡음을 축소하여 제거하는 등의 연산으로 침식(erode), 팽창(dilate), 열기(opening), 닫기(closing) 등이 있다.
출처 : C++ API OpenCV 프로그래밍(책)

Erode (침식)

void cv::erode    (    
InputArray     src,
OutputArray     dst,
InputArray     kernel,
Point     anchor = Point(-1,-1),
int     iterations = 1,
int     borderType = BORDER_CONSTANT,
const Scalar &     borderValue = morphologyDefaultBorderValue() 
)

src : 입력영상
dst : 출력영상
kernel : morphology 로 사용할 kernel (MORPH_RECT, MORPH_CROSS, MORPH_ELLIPSE)
_anchor : Kernel element의 위치설정 (-1,-1일 경우 Kernel의 중심)
iterations : Erode 를 반복수행할 횟수

소스

Size size(5,5);
int iterations = 3;
Point anchor(-1,-1);
Mat rectKernel = getStructuringElement(MORPH_RECT, size);
erode(srcImage,erodeImage,rectKernel,anchor,iterations);

실행결과

설명

<<작성중 >>

Dilate(팽창)

void cv::dilate    (    
InputArray     src,
OutputArray     dst,
InputArray     kernel,
Point     anchor = Point(-1,-1),
int     iterations = 1,
int     borderType = BORDER_CONSTANT,
const Scalar &     borderValue = morphologyDefaultBorderValue() 
)

<erode와 동일>

MorphologyEx

void cv::morphologyEx    (    
InputArray     src,
OutputArray     dst,
int     op,
InputArray     kernel,
Point     anchor = Point(-1,-1),
int     iterations = 1,
int     borderType = BORDER_CONSTANT,
const Scalar &     borderValue = morphologyDefaultBorderValue() 
)

src : 입력영상
dst : 출력영상
op : Morphology operation 의 type (MORPH_ERODE, MORPH_DILATE, MORPH_OPEN, MORPH_CLOSE, MORPH_GRADIENT, MORPH_TOPHAT, MORPH_BLACKHAT, MORPH_HITMISS)
kernel : Morphology 연산에 사용할 Kernel
anchor : Kernel element의 위치설정 (-1,-1일 경우 Kernel의 중심)
iteration : Number of times erosion and dilation are applied.

소스

Size size(5,5);
Mat rectKernel = getStructuringElement(MORPH_RECT, size);
int iterations = 5;
Point anchor(-1,-1);
morphologyEx(srcImage,openImage,MORPH_OPEN,rectKernel,anchor,iterations);

실행결과

설명

erode 와 dilate와 다르게 morphologyEx 는 op값(morphology operation type)에 따라 erode 와 dilate를 조합해서 사용하게 된다.
예를들면 MORPH_OPEN은 수축(erode) 수행 후 결과를 가지고 팽창(dilate)를 수행하게 된다.

각 morphology operation에 따른 조합은 아래의 자료를 참고해주세요

사용한 전체 소스 (Morphology 부분)

 JNIEXPORT jstring JNICALL
Java_com_tistory_technote_opencvandroid_MainActivity_convertNativeLibtoMorpology(JNIEnv *env, jobject, jlong addrInput, jlong addrResult) {

    Mat &img_input = *(Mat *) addrInput;
    Mat &img_result = *(Mat *) addrResult;
    cvtColor(img_input, img_result, CV_RGBA2GRAY);
    jstring result;
    std::stringstream buffer;
    Mat srcImage = img_result;

    Size size(5,5);
    Mat rectKernel = getStructuringElement(MORPH_RECT, size);
    buffer << "rectkernel =Mat rectKernel = getStructuringElement(MORPH_RECT, size); " << endl;
    buffer << rectKernel << endl;

    int iterations = 3;
    Point anchor(-1,-1);
    Mat erodeImage;
    erode(srcImage,erodeImage,rectKernel,anchor,iterations);
    img_result = erodeImage.clone();

    Mat dilateImage;
    dilate(srcImage,dilateImage,rectKernel,anchor,iterations);
    //img_result = dilateImage.clone();

    Mat ellipseKernel = getStructuringElement(MORPH_ELLIPSE,size);
    buffer << "ellipseKernel = Mat ellipseKernel = getStructuringElement(MORPH_ELLIPSE,size);" << endl;
    buffer << ellipseKernel << endl;

    Mat erodeImage2;
    erode(srcImage,erodeImage2,ellipseKernel,anchor,iterations);
    //img_result = erodeImage2.clone();

    Mat dilateImage2;
    dilate(srcImage,dilateImage2,ellipseKernel,anchor,iterations);
    //img_result = dilateImage2.clone();

    Mat corssKernel = getStructuringElement(MORPH_CROSS,size);
    buffer << "corsskernel =Mat corssKernel = getStructuringElement(MORPH_CROSS,size);" << endl;
    buffer <<corssKernel << endl;

    Mat erodeImage3;
    erode(srcImage,erodeImage3,corssKernel,anchor,iterations);
    //img_result = erodeImage3.clone();

    Mat dilateImage3;
    dilate(srcImage,dilateImage3,corssKernel,anchor,iterations);
    //img_result = dilateImage3.clone();

    const char *cstr = buffer.str().c_str();
    result = env->NewStringUTF(cstr);

    return result;
}

morphologyEx 부분

JNIEXPORT jstring JNICALL
Java_com_tistory_technote_opencvandroid_MainActivity_convertNativeLibtoMorpologyEx(JNIEnv *env, jobject, jlong addrInput, jlong addrResult) {

    Mat &img_input = *(Mat *) addrInput;
    Mat &img_result = *(Mat *) addrResult;
    cvtColor(img_input, img_result, CV_RGBA2GRAY);
    jstring result;
    std::stringstream buffer;
    Mat srcImage = img_result;

    Size size(5,5);
    Mat rectKernel = getStructuringElement(MORPH_RECT, size);
    buffer << "rectkernel =Mat rectKernel = getStructuringElement(MORPH_RECT, size); " << endl;
    buffer << rectKernel << endl;

    int iterations = 5;
    Point anchor(-1,-1);

    Mat openImage;
    morphologyEx(srcImage,openImage,MORPH_OPEN,rectKernel,anchor,iterations);
    img_result = openImage.clone();

    Mat closeImage;
    morphologyEx(srcImage,closeImage,MORPH_CLOSE,rectKernel,anchor,iterations);
    //img_result = closeImage.clone();

    Mat gradientImage;
    morphologyEx(srcImage,gradientImage,MORPH_GRADIENT,rectKernel,anchor,iterations);
    //img_result = gradientImage.clone();

    Mat tophatImage;
    morphologyEx(srcImage,tophatImage,MORPH_TOPHAT,rectKernel,anchor,iterations);
    //img_result = tophatImage.clone();

    Mat blackhatImage;
    morphologyEx(srcImage,blackhatImage,MORPH_TOPHAT,rectKernel,anchor,iterations);
   //img_result = blackhatImage.clone();

    const char *cstr = buffer.str().c_str();
    result = env->NewStringUTF(cstr);

    return result;
}

Morphological operation

Mopological operation

Erode (침식)

소스

실행결과

설명

Dilate(팽창)

MorphologyEx

소스

실행결과

설명

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