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https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
implemented CvMat#inpaint and tested CvMat#inpaint, CvMat#inpaint_*
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7 changed files with 82 additions and 0 deletions
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@ -375,6 +375,7 @@ void define_ruby_class()
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rb_define_method(rb_klass, "hough_circles_gradient", RUBY_METHOD_FUNC(rb_hough_circles_gradient), -1);
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//rb_define_method(rb_klass, "dist_transform", RUBY_METHOD_FUNC(rb_dist_transform), -1);
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rb_define_method(rb_klass, "inpaint", RUBY_METHOD_FUNC(rb_inpaint), 3);
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rb_define_method(rb_klass, "inpaint_ns", RUBY_METHOD_FUNC(rb_inpaint_ns), 2);
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rb_define_method(rb_klass, "inpaint_telea", RUBY_METHOD_FUNC(rb_inpaint_telea), 2);
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@ -4524,6 +4525,29 @@ rb_hough_circles_gradient(int argc, VALUE *argv, VALUE self)
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return cCvSeq::new_sequence(cCvSeq::rb_class(), seq, cCvCircle32f::rb_class(), storage);
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}
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/*
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* call-seq:
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* inpaint(<i>inpaint_method, mask, radius</i>) -> cvmat
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*
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* Inpaints the selected region in the image
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* The radius of circlular neighborhood of each point inpainted that is considered by the algorithm.
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*/
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VALUE
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rb_inpaint(VALUE self, VALUE inpaint_method, VALUE mask, VALUE radius)
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{
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SUPPORT_8U_ONLY(self);
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SUPPORT_C1C3_ONLY(self);
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const int INVALID_TYPE = -1;
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VALUE dest;
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int method = CVMETHOD("INPAINT_METHOD", inpaint_method, INVALID_TYPE);
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if (!(rb_obj_is_kind_of(mask, cCvMat::rb_class())) || cvGetElemType(CVARR(mask)) != CV_8UC1)
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rb_raise(rb_eTypeError, "argument 1 (mask) should be mask image.");
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dest = cCvMat::new_object(cvGetSize(CVARR(self)), cvGetElemType(CVARR(self)));
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cvInpaint(CVARR(self), CVARR(mask), CVARR(dest), NUM2DBL(radius), method);
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return dest;
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}
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/*
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* call-seq:
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* inpaint_ns(<i>mask, radius</i>) -> cvmat
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@ -235,6 +235,7 @@ VALUE rb_hough_lines_multi_scale(VALUE self, VALUE rho, VALUE theta, VALUE thres
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VALUE rb_hough_circles(int argc, VALUE *argv, VALUE self);
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VALUE rb_hough_circles_gradient(int argc, VALUE *argv, VALUE self);
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VALUE rb_dist_transform(int argc, VALUE *argv, VALUE self);
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VALUE rb_inpaint(VALUE self, VALUE inpaint_method, VALUE mask, VALUE radius);
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VALUE rb_inpaint_ns(VALUE self, VALUE mask, VALUE radius);
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VALUE rb_inpaint_telea(VALUE self, VALUE mask, VALUE radius);
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@ -239,6 +239,10 @@ define_ruby_module()
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rb_define_const(rb_module, "CV_HOUGH_PROBABILISTIC", INT2FIX(CV_HOUGH_PROBABILISTIC));
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rb_define_const(rb_module, "CV_HOUGH_MULTI_SCALE", INT2FIX(CV_HOUGH_MULTI_SCALE));
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rb_define_const(rb_module, "CV_HOUGH_GRADIENT", INT2FIX(CV_HOUGH_GRADIENT));
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/* Inpaint method */
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rb_define_const(rb_module, "CV_INPAINT_NS", INT2FIX(CV_INPAINT_NS));
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rb_define_const(rb_module, "CV_INPAINT_TELEA", INT2FIX(CV_INPAINT_TELEA));
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VALUE inversion_method = rb_hash_new();
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/* {:lu, :svd, :svd_sym(:svd_symmetric)}: Inversion method */
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@ -370,6 +374,12 @@ define_ruby_module()
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RESIST_CVMETHOD(hough_transform_method, "multi_scale", CV_HOUGH_MULTI_SCALE);
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RESIST_CVMETHOD(hough_transform_method, "gradient", CV_HOUGH_GRADIENT);
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VALUE inpaint_method = rb_hash_new();
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/* {:ns, :telea} : Inpaint method */
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rb_define_const(rb_module, "INPAINT_METHOD", inpaint_method);
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RESIST_CVMETHOD(inpaint_method, "ns", CV_INPAINT_NS);
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RESIST_CVMETHOD(inpaint_method, "telea", CV_INPAINT_TELEA);
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/* color convert methods */
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rb_define_module_function(rb_module, "BGR2BGRA", RUBY_METHOD_FUNC(rb_BGR2BGRA), 1);
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rb_define_module_function(rb_module, "RGB2RGBA", RUBY_METHOD_FUNC(rb_RGB2RGBA), 1);
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BIN
test/samples/inpaint-mask.bmp
Normal file
BIN
test/samples/inpaint-mask.bmp
Normal file
Binary file not shown.
After Width: | Height: | Size: 192 KiB |
BIN
test/samples/lena-inpaint.jpg
Normal file
BIN
test/samples/lena-inpaint.jpg
Normal file
Binary file not shown.
After Width: | Height: | Size: 16 KiB |
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@ -9,6 +9,8 @@ include OpenCV
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# Tests for image processing functions of OpenCV::CvMat
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class TestCvMat_imageprocessing < OpenCVTestCase
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FILENAME_LENA256x256 = File.expand_path(File.dirname(__FILE__)) + '/samples/lena-256x256.jpg'
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FILENAME_LENA_INPAINT = File.expand_path(File.dirname(__FILE__)) + '/samples/lena-inpaint.jpg'
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FILENAME_INPAINT_MASK = File.expand_path(File.dirname(__FILE__)) + '/samples/inpaint-mask.bmp'
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FILENAME_LENA32x32 = File.expand_path(File.dirname(__FILE__)) + '/samples/lena-32x32.jpg'
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FILENAME_CONTOURS = File.expand_path(File.dirname(__FILE__)) + '/samples/contours.jpg'
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FILENAME_LINES = File.expand_path(File.dirname(__FILE__)) + '/samples/lines.jpg'
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@ -1414,5 +1416,42 @@ class TestCvMat_imageprocessing < OpenCVTestCase
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# }
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# snap mat0
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end
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def test_inpaint
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mat = CvMat.load(FILENAME_LENA_INPAINT, CV_LOAD_IMAGE_ANYCOLOR | CV_LOAD_IMAGE_ANYDEPTH)
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mask = CvMat.load(FILENAME_INPAINT_MASK, CV_LOAD_IMAGE_GRAYSCALE)
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[CV_INPAINT_NS, :ns].each { |method|
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result_ns = mat.inpaint(method, mask, 10)
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assert_equal('d3df4dda8642c83512fb417ffa5e1457', hash_img(result_ns))
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}
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[CV_INPAINT_TELEA, :telea].each { |method|
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result_telea = mat.inpaint(method, mask, 10)
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assert_equal('d45bec22d03067578703f2ec68567167', hash_img(result_telea))
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}
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# Uncomment the following lines to show the results
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# result_ns = mat.inpaint(:ns, mask, 10)
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# result_telea = mat.inpaint(:telea, mask, 10)
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# snap mat, result_ns, result_telea
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end
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def test_inpaint_ns
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mat = CvMat.load(FILENAME_LENA_INPAINT, CV_LOAD_IMAGE_ANYCOLOR | CV_LOAD_IMAGE_ANYDEPTH)
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mask = CvMat.load(FILENAME_INPAINT_MASK, CV_LOAD_IMAGE_GRAYSCALE)
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result = mat.inpaint_ns(mask, 10)
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assert_equal('d3df4dda8642c83512fb417ffa5e1457', hash_img(result))
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# Uncomment the following lines to show the result
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# snap mat, result
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end
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def test_inpaint_telea
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mat = CvMat.load(FILENAME_LENA_INPAINT, CV_LOAD_IMAGE_ANYCOLOR | CV_LOAD_IMAGE_ANYDEPTH)
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mask = CvMat.load(FILENAME_INPAINT_MASK, CV_LOAD_IMAGE_GRAYSCALE)
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result = mat.inpaint_telea(mask, 10)
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assert_equal('d45bec22d03067578703f2ec68567167', hash_img(result))
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# Uncomment the following lines to show the result
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# snap mat, result
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end
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end
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@ -76,6 +76,10 @@ class TestOpenCV < OpenCVTestCase
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assert_equal(1, CV_HOUGH_PROBABILISTIC)
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assert_equal(2, CV_HOUGH_MULTI_SCALE)
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assert_equal(3, CV_HOUGH_GRADIENT)
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# Inpaint method
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assert_equal(0, CV_INPAINT_NS)
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assert_equal(1, CV_INPAINT_TELEA)
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end
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def test_symbols
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@ -176,6 +180,10 @@ class TestOpenCV < OpenCVTestCase
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assert_equal(1, HOUGH_TRANSFORM_METHOD[:probabilistic])
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assert_equal(2, HOUGH_TRANSFORM_METHOD[:multi_scale])
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assert_equal(3, HOUGH_TRANSFORM_METHOD[:gradient])
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# Inpaint method
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assert_equal(0, INPAINT_METHOD[:ns])
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assert_equal(1, INPAINT_METHOD[:telea])
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end
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def test_cvt_color_funcs
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