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Removed opencv_extra folder inside opencv folder
pull/1447/head
siddharth 11 years ago
parent 2f65a0d4ba
commit 33e6c07485
9 changed files with 171 additions and 249 deletions
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  1. 2
      modules/photo/doc/cloning.rst
  2. 15
      modules/photo/doc/npr.rst
  3. 303
      modules/photo/include/opencv2/photo.hpp
  4. 11
      modules/photo/src/contrast_preserve.hpp
  5. 31
      modules/photo/src/npr.cpp
  6. 30
      modules/photo/src/npr.hpp
  7. 16
      modules/photo/test/test_npr.cpp
  8. 2
      samples/cpp/cloning_demo.cpp
  9. 10
      samples/cpp/npr_demo.cpp

2
modules/photo/doc/cloning.rst
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@ -80,7 +80,7 @@ textureFlattening
By retaining only the gradients at edge locations, before integrating with the Poisson solver, one washes out the texture of the selected
region, giving its contents a flat aspect. Here Canny Edge Detector is used.
.. ocv:function:: void textureFlattening(InputArray src, InputArray mask, OutputArray dst, double low_threshold, double high_threshold, int kernel_size)
.. ocv:function:: void textureFlattening(InputArray src, InputArray mask, OutputArray dst, double low_threshold=30 , double high_threshold=45, int kernel_size=3)
:param src: Input 8-bit 3-channel image.

15
modules/photo/doc/npr.rst
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@ -72,18 +72,3 @@ Stylization aims to produce digital imagery with a wide variety of effects not f
:param sigma_s: Range between 0 to 200.
:param sigma_r: Range between 0 to 1.
edgeEnhance
-----------
Able to suppress low-amplitude details and enhance edges.
.. ocv:function:: void edgeEnhance(InputArray src, OutputArray dst, float sigma_s = 60, float sigma_r = 0.45)
:param src: Input 8-bit 3-channel image.
:param dst: Output 8-bit 1-channel image.
:param sigma_s: Range between 0 to 200.
:param sigma_r: Range between 0 to 1.

303
modules/photo/include/opencv2/photo.hpp
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@ -93,213 +93,213 @@ namespace cv
float h = 3, float hColor = 3,
int templateWindowSize = 7, int searchWindowSize = 21);
enum { LDR_SIZE = 256 };
enum { LDR_SIZE = 256 };
class CV_EXPORTS_W Tonemap : public Algorithm
{
public:
CV_WRAP virtual void process(InputArray src, OutputArray dst) = 0;
class CV_EXPORTS_W Tonemap : public Algorithm
{
public:
CV_WRAP virtual void process(InputArray src, OutputArray dst) = 0;
CV_WRAP virtual float getGamma() const = 0;
CV_WRAP virtual void setGamma(float gamma) = 0;
};
CV_WRAP virtual float getGamma() const = 0;
CV_WRAP virtual void setGamma(float gamma) = 0;
};
CV_EXPORTS_W Ptr<Tonemap> createTonemap(float gamma = 1.0f);
CV_EXPORTS_W Ptr<Tonemap> createTonemap(float gamma = 1.0f);
// "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003
// "Adaptive Logarithmic Mapping For Displaying HighContrast Scenes", Drago et al., 2003
class CV_EXPORTS_W TonemapDrago : public Tonemap
{
public:
class CV_EXPORTS_W TonemapDrago : public Tonemap
{
public:
CV_WRAP virtual float getSaturation() const = 0;
CV_WRAP virtual void setSaturation(float saturation) = 0;
CV_WRAP virtual float getSaturation() const = 0;
CV_WRAP virtual void setSaturation(float saturation) = 0;
CV_WRAP virtual float getBias() const = 0;
CV_WRAP virtual void setBias(float bias) = 0;
};
CV_WRAP virtual float getBias() const = 0;
CV_WRAP virtual void setBias(float bias) = 0;
};
CV_EXPORTS_W Ptr<TonemapDrago> createTonemapDrago(float gamma = 1.0f, float saturation = 1.0f, float bias = 0.85f);
CV_EXPORTS_W Ptr<TonemapDrago> createTonemapDrago(float gamma = 1.0f, float saturation = 1.0f, float bias = 0.85f);
// "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002
// "Fast Bilateral Filtering for the Display of High-Dynamic-Range Images", Durand, Dorsey, 2002
class CV_EXPORTS_W TonemapDurand : public Tonemap
{
public:
class CV_EXPORTS_W TonemapDurand : public Tonemap
{
public:
CV_WRAP virtual float getSaturation() const = 0;
CV_WRAP virtual void setSaturation(float saturation) = 0;
CV_WRAP virtual float getSaturation() const = 0;
CV_WRAP virtual void setSaturation(float saturation) = 0;
CV_WRAP virtual float getContrast() const = 0;
CV_WRAP virtual void setContrast(float contrast) = 0;
CV_WRAP virtual float getContrast() const = 0;
CV_WRAP virtual void setContrast(float contrast) = 0;
CV_WRAP virtual float getSigmaSpace() const = 0;
CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0;
CV_WRAP virtual float getSigmaSpace() const = 0;
CV_WRAP virtual void setSigmaSpace(float sigma_space) = 0;
CV_WRAP virtual float getSigmaColor() const = 0;
CV_WRAP virtual void setSigmaColor(float sigma_color) = 0;
};
CV_WRAP virtual float getSigmaColor() const = 0;
CV_WRAP virtual void setSigmaColor(float sigma_color) = 0;
};
CV_EXPORTS_W Ptr<TonemapDurand>
createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f);
CV_EXPORTS_W Ptr<TonemapDurand>
createTonemapDurand(float gamma = 1.0f, float contrast = 4.0f, float saturation = 1.0f, float sigma_space = 2.0f, float sigma_color = 2.0f);
// "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005
// "Dynamic Range Reduction Inspired by Photoreceptor Physiology", Reinhard, Devlin, 2005
class CV_EXPORTS_W TonemapReinhard : public Tonemap
{
public:
CV_WRAP virtual float getIntensity() const = 0;
CV_WRAP virtual void setIntensity(float intensity) = 0;
class CV_EXPORTS_W TonemapReinhard : public Tonemap
{
public:
CV_WRAP virtual float getIntensity() const = 0;
CV_WRAP virtual void setIntensity(float intensity) = 0;
CV_WRAP virtual float getLightAdaptation() const = 0;
CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0;
CV_WRAP virtual float getLightAdaptation() const = 0;
CV_WRAP virtual void setLightAdaptation(float light_adapt) = 0;
CV_WRAP virtual float getColorAdaptation() const = 0;
CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0;
};
CV_WRAP virtual float getColorAdaptation() const = 0;
CV_WRAP virtual void setColorAdaptation(float color_adapt) = 0;
};
CV_EXPORTS_W Ptr<TonemapReinhard>
createTonemapReinhard(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f);
CV_EXPORTS_W Ptr<TonemapReinhard>
createTonemapReinhard(float gamma = 1.0f, float intensity = 0.0f, float light_adapt = 1.0f, float color_adapt = 0.0f);
// "Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006
// "Perceptual Framework for Contrast Processing of High Dynamic Range Images", Mantiuk et al., 2006
class CV_EXPORTS_W TonemapMantiuk : public Tonemap
{
public:
CV_WRAP virtual float getScale() const = 0;
CV_WRAP virtual void setScale(float scale) = 0;
class CV_EXPORTS_W TonemapMantiuk : public Tonemap
{
public:
CV_WRAP virtual float getScale() const = 0;
CV_WRAP virtual void setScale(float scale) = 0;
CV_WRAP virtual float getSaturation() const = 0;
CV_WRAP virtual void setSaturation(float saturation) = 0;
};
CV_WRAP virtual float getSaturation() const = 0;
CV_WRAP virtual void setSaturation(float saturation) = 0;
};
CV_EXPORTS_W Ptr<TonemapMantiuk>
createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f);
CV_EXPORTS_W Ptr<TonemapMantiuk>
createTonemapMantiuk(float gamma = 1.0f, float scale = 0.7f, float saturation = 1.0f);
class CV_EXPORTS_W AlignExposures : public Algorithm
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst,
InputArray times, InputArray response) = 0;
};
class CV_EXPORTS_W AlignExposures : public Algorithm
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst,
InputArray times, InputArray response) = 0;
};
// "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003
// "Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Handheld Exposures", Ward, 2003
class CV_EXPORTS_W AlignMTB : public AlignExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst,
InputArray times, InputArray response) = 0;
class CV_EXPORTS_W AlignMTB : public AlignExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst,
InputArray times, InputArray response) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, std::vector<Mat>& dst) = 0;
CV_WRAP virtual Point calculateShift(InputArray img0, InputArray img1) = 0;
CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0;
CV_WRAP virtual void computeBitmaps(InputArray img, OutputArray tb, OutputArray eb) = 0;
CV_WRAP virtual Point calculateShift(InputArray img0, InputArray img1) = 0;
CV_WRAP virtual void shiftMat(InputArray src, OutputArray dst, const Point shift) = 0;
CV_WRAP virtual void computeBitmaps(InputArray img, OutputArray tb, OutputArray eb) = 0;
CV_WRAP virtual int getMaxBits() const = 0;
CV_WRAP virtual void setMaxBits(int max_bits) = 0;
CV_WRAP virtual int getMaxBits() const = 0;
CV_WRAP virtual void setMaxBits(int max_bits) = 0;
CV_WRAP virtual int getExcludeRange() const = 0;
CV_WRAP virtual void setExcludeRange(int exclude_range) = 0;
CV_WRAP virtual int getExcludeRange() const = 0;
CV_WRAP virtual void setExcludeRange(int exclude_range) = 0;
CV_WRAP virtual bool getCut() const = 0;
CV_WRAP virtual void setCut(bool value) = 0;
};
CV_WRAP virtual bool getCut() const = 0;
CV_WRAP virtual void setCut(bool value) = 0;
};
CV_EXPORTS_W Ptr<AlignMTB> createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true);
CV_EXPORTS_W Ptr<AlignMTB> createAlignMTB(int max_bits = 6, int exclude_range = 4, bool cut = true);
class CV_EXPORTS_W CalibrateCRF : public Algorithm
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
};
class CV_EXPORTS_W CalibrateCRF : public Algorithm
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
};
// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
class CV_EXPORTS_W CalibrateDebevec : public CalibrateCRF
{
public:
CV_WRAP virtual float getLambda() const = 0;
CV_WRAP virtual void setLambda(float lambda) = 0;
class CV_EXPORTS_W CalibrateDebevec : public CalibrateCRF
{
public:
CV_WRAP virtual float getLambda() const = 0;
CV_WRAP virtual void setLambda(float lambda) = 0;
CV_WRAP virtual int getSamples() const = 0;
CV_WRAP virtual void setSamples(int samples) = 0;
CV_WRAP virtual int getSamples() const = 0;
CV_WRAP virtual void setSamples(int samples) = 0;
CV_WRAP virtual bool getRandom() const = 0;
CV_WRAP virtual void setRandom(bool random) = 0;
};
CV_WRAP virtual bool getRandom() const = 0;
CV_WRAP virtual void setRandom(bool random) = 0;
};
CV_EXPORTS_W Ptr<CalibrateDebevec> createCalibrateDebevec(int samples = 70, float lambda = 10.0f, bool random = false);
CV_EXPORTS_W Ptr<CalibrateDebevec> createCalibrateDebevec(int samples = 70, float lambda = 10.0f, bool random = false);
// "Dynamic range improvement through multiple exposures", Robertson et al., 1999
// "Dynamic range improvement through multiple exposures", Robertson et al., 1999
class CV_EXPORTS_W CalibrateRobertson : public CalibrateCRF
{
public:
CV_WRAP virtual int getMaxIter() const = 0;
CV_WRAP virtual void setMaxIter(int max_iter) = 0;
class CV_EXPORTS_W CalibrateRobertson : public CalibrateCRF
{
public:
CV_WRAP virtual int getMaxIter() const = 0;
CV_WRAP virtual void setMaxIter(int max_iter) = 0;
CV_WRAP virtual float getThreshold() const = 0;
CV_WRAP virtual void setThreshold(float threshold) = 0;
CV_WRAP virtual float getThreshold() const = 0;
CV_WRAP virtual void setThreshold(float threshold) = 0;
CV_WRAP virtual Mat getRadiance() const = 0;
};
CV_WRAP virtual Mat getRadiance() const = 0;
};
CV_EXPORTS_W Ptr<CalibrateRobertson> createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f);
CV_EXPORTS_W Ptr<CalibrateRobertson> createCalibrateRobertson(int max_iter = 30, float threshold = 0.01f);
class CV_EXPORTS_W MergeExposures : public Algorithm
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
};
class CV_EXPORTS_W MergeExposures : public Algorithm
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
};
// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
// "Recovering High Dynamic Range Radiance Maps from Photographs", Debevec, Malik, 1997
class CV_EXPORTS_W MergeDebevec : public MergeExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
};
class CV_EXPORTS_W MergeDebevec : public MergeExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
};
CV_EXPORTS_W Ptr<MergeDebevec> createMergeDebevec();
CV_EXPORTS_W Ptr<MergeDebevec> createMergeDebevec();
// "Exposure Fusion", Mertens et al., 2007
// "Exposure Fusion", Mertens et al., 2007
class CV_EXPORTS_W MergeMertens : public MergeExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0;
class CV_EXPORTS_W MergeMertens : public MergeExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst) = 0;
CV_WRAP virtual float getContrastWeight() const = 0;
CV_WRAP virtual void setContrastWeight(float contrast_weiht) = 0;
CV_WRAP virtual float getContrastWeight() const = 0;
CV_WRAP virtual void setContrastWeight(float contrast_weiht) = 0;
CV_WRAP virtual float getSaturationWeight() const = 0;
CV_WRAP virtual void setSaturationWeight(float saturation_weight) = 0;
CV_WRAP virtual float getSaturationWeight() const = 0;
CV_WRAP virtual void setSaturationWeight(float saturation_weight) = 0;
CV_WRAP virtual float getExposureWeight() const = 0;
CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0;
};
CV_WRAP virtual float getExposureWeight() const = 0;
CV_WRAP virtual void setExposureWeight(float exposure_weight) = 0;
};
CV_EXPORTS_W Ptr<MergeMertens>
createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f);
CV_EXPORTS_W Ptr<MergeMertens>
createMergeMertens(float contrast_weight = 1.0f, float saturation_weight = 1.0f, float exposure_weight = 0.0f);
// "Dynamic range improvement through multiple exposures", Robertson et al., 1999
// "Dynamic range improvement through multiple exposures", Robertson et al., 1999
class CV_EXPORTS_W MergeRobertson : public MergeExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
};
class CV_EXPORTS_W MergeRobertson : public MergeExposures
{
public:
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst,
InputArray times, InputArray response) = 0;
CV_WRAP virtual void process(InputArrayOfArrays src, OutputArray dst, InputArray times) = 0;
};
CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
CV_EXPORTS_W void decolor( InputArray src, OutputArray grayscale, OutputArray color_boost);
@ -328,9 +328,6 @@ CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
CV_EXPORTS_W void stylization(InputArray src, OutputArray dst, float sigma_s = 60,
float sigma_r = 0.45);
CV_EXPORTS_W void edgeEnhance(InputArray src, OutputArray dst, float sigma_s = 60,
float sigma_r = 0.45);
} // cv
#endif

11
modules/photo/src/contrast_preserve.hpp
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@ -74,6 +74,13 @@ class Decolor
void grayImContruct(vector <double> &wei, Mat img, Mat &Gray);
};
int round_num(double a);
int round_num(double a)
{
return int(a + 0.5);
}
double Decolor::energyCalcu(vector <double> &Cg, vector < vector <double> > &polyGrad, vector <double> &wei)
{
vector <double> energy;
@ -228,7 +235,7 @@ void Decolor::weak_order(Mat img, vector <double> &alf)
if((h + w) > 800)
{
sizefactor = (double)800/(h+w);
resize(img,img,Size(round(h*sizefactor),round(w*sizefactor)));
resize(img,img,Size(round_num(h*sizefactor),round_num(w*sizefactor)));
}
Mat curIm = Mat(img.size(),CV_32FC1);
@ -304,7 +311,7 @@ void Decolor::grad_system(Mat img, vector < vector < double > > &polyGrad,
if((h + w) > 800)
{
sizefactor = (double)800/(h+w);
resize(img,img,Size(round(h*sizefactor),round(w*sizefactor)));
resize(img,img,Size(round_num(h*sizefactor),round_num(w*sizefactor)));
}
h = img.size().height;

31
modules/photo/src/npr.cpp
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@ -151,7 +151,6 @@ void cv::stylization(InputArray _src, OutputArray _dst, float sigma_s, float sig
int h = img.size().height;
int w = img.size().width;
int channel = img.channels();
Mat res = Mat(h,w,CV_32FC3);
Mat magnitude = Mat(h,w,CV_32FC1);
@ -159,7 +158,7 @@ void cv::stylization(InputArray _src, OutputArray _dst, float sigma_s, float sig
Domain_Filter obj;
obj.filter(img, res, sigma_s, sigma_r, NORMCONV_FILTER);
obj.find_magnitude(res,magnitude,2);
obj.find_magnitude(res,magnitude);
Mat stylized = Mat(h,w,CV_32FC3);
@ -172,31 +171,3 @@ void cv::stylization(InputArray _src, OutputArray _dst, float sigma_s, float sig
stylized.convertTo(dst,CV_8UC3,255);
}
void cv::edgeEnhance(InputArray _src, OutputArray _dst, float sigma_s, float sigma_r)
{
Mat I = _src.getMat();
_dst.create(I.size(), CV_8UC1);
Mat dst = _dst.getMat();
Mat img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
Mat orig = img.clone();
int h = img.size().height;
int w = img.size().width;
Mat res = Mat(h,w,CV_32FC3);
Mat magnitude = Mat(h,w,CV_32FC1);
Mat mag8 = Mat(h,w,CV_32FC1);
Domain_Filter obj;
obj.filter(img, res, sigma_s, sigma_r, NORMCONV_FILTER);
obj.find_magnitude(res,magnitude,1);
magnitude.convertTo(dst,CV_8UC1,255);
}

30
modules/photo/src/npr.hpp
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@ -61,7 +61,7 @@ class Domain_Filter
void getGradienty( const Mat &img, Mat &gy);
void diffx(const Mat &img, Mat &temp);
void diffy(const Mat &img, Mat &temp);
void find_magnitude(Mat &img, Mat &mag, int flags);
void find_magnitude(Mat &img, Mat &mag);
void compute_boxfilter(Mat &output, Mat &hz, Mat &psketch, float radius);
void compute_Rfilter(Mat &O, Mat &horiz, float sigma_h);
void compute_NCfilter(Mat &O, Mat &horiz, Mat &psketch, float radius);
@ -131,7 +131,7 @@ void Domain_Filter::getGradienty( const Mat &img, Mat &gy)
}
}
void Domain_Filter::find_magnitude(Mat &img, Mat &mag, int flags)
void Domain_Filter::find_magnitude(Mat &img, Mat &mag)
{
int h = img.rows;
int w = img.cols;
@ -148,28 +148,14 @@ void Domain_Filter::find_magnitude(Mat &img, Mat &mag, int flags)
Mat magXB = Mat(h, w, CV_32FC1);
Mat magYB = Mat(h, w, CV_32FC1);
if(flags == 1)
{
getGradientx(planes[0], magXR);
getGradienty(planes[0], magYR);
getGradientx(planes[1], magXG);
getGradienty(planes[1], magYG);
getGradientx(planes[2], magXR);
getGradienty(planes[2], magYR);
}
else if(flags == 2)
{
Sobel(planes[0], magXR, CV_32FC1, 1, 0, 3);
Sobel(planes[0], magYR, CV_32FC1, 0, 1, 3);
Sobel(planes[0], magXR, CV_32FC1, 1, 0, 3);
Sobel(planes[0], magYR, CV_32FC1, 0, 1, 3);
Sobel(planes[1], magXG, CV_32FC1, 1, 0, 3);
Sobel(planes[1], magYG, CV_32FC1, 0, 1, 3);
Sobel(planes[1], magXG, CV_32FC1, 1, 0, 3);
Sobel(planes[1], magYG, CV_32FC1, 0, 1, 3);
Sobel(planes[2], magXB, CV_32FC1, 1, 0, 3);
Sobel(planes[2], magYB, CV_32FC1, 0, 1, 3);
}
Sobel(planes[2], magXB, CV_32FC1, 1, 0, 3);
Sobel(planes[2], magYB, CV_32FC1, 0, 1, 3);
Mat mag1 = Mat(h,w,CV_32FC1);
Mat mag2 = Mat(h,w,CV_32FC1);

16
modules/photo/test/test_npr.cpp
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@ -128,19 +128,3 @@ TEST(Photo_NPR_Stylization, regression)
imwrite(folder + "stylized.png", result);
}
TEST(Photo_NPR_EdgeEnhance, regression)
{
string folder = string(cvtest::TS::ptr()->get_data_path()) + "npr/";
string original_path = folder + "test1.png";
Mat source = imread(original_path, IMREAD_COLOR);
ASSERT_FALSE(source.empty()) << "Could not load input image " << original_path;
Mat result;
edgeEnhance(source,result);
imwrite(folder + "edge_enhanced.png", result);
}

2
samples/cpp/cloning_demo.cpp
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@ -43,7 +43,7 @@ int main()
cout << "6) Texture Flattening " << endl;
cout << endl;
cout << "Press number 1-6 to choose from above techniques: ";
int num;
int num = 1;
cin >> num;
cout << endl;

10
samples/cpp/npr_demo.cpp
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@ -11,7 +11,6 @@
* 2) Detail Enhancement
* 3) Pencil sketch/Color Pencil Drawing
* 4) Stylization
* 5) Edge Enhancement
*
*/
@ -57,10 +56,9 @@ int main(int argc, char* argv[])
cout << "2) Detail Enhancement" << endl;
cout << "3) Pencil sketch/Color Pencil Drawing" << endl;
cout << "4) Stylization" << endl;
cout << "5) Edge Enhancement" << endl;
cout << endl;
cout << "Press number 1-5 to choose from above techniques: ";
cout << "Press number 1-4 to choose from above techniques: ";
cin >> num;
@ -94,11 +92,5 @@ int main(int argc, char* argv[])
stylization(I,img);
imshow("Stylization",img);
}
else if(num == 5)
{
edgeEnhance(I,img);
imshow("Edge Enhance",img);
}
waitKey(0);
}

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