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add Mat#blur!

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This commit is contained in:
ser1zw 2017-04-30 04:07:04 +09:00
parent 30b9449115
commit 1d258996ba
4 changed files with 72 additions and 10 deletions
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1
ext/opencv/mat.cpp
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@ -1252,6 +1252,7 @@ namespace rubyopencv {
rb_define_method(rb_klass, "cvt_color", RUBY_METHOD_FUNC(rb_cvt_color), -1); // in ext/opencv/mat_imgproc.cpp
rb_define_method(rb_klass, "cvt_color!", RUBY_METHOD_FUNC(rb_cvt_color_bang), -1); // in ext/opencv/mat_imgproc.cpp
rb_define_method(rb_klass, "blur", RUBY_METHOD_FUNC(rb_blur), -1); // in ext/opencv/mat_imgproc.cpp
rb_define_method(rb_klass, "blur!", RUBY_METHOD_FUNC(rb_blur_bang), -1); // in ext/opencv/mat_imgproc.cpp
rb_define_method(rb_klass, "gaussian_blur", RUBY_METHOD_FUNC(rb_gaussian_blur), -1); // in ext/opencv/mat_imgproc.cpp
rb_define_method(rb_klass, "median_blur", RUBY_METHOD_FUNC(rb_median_blur), 1); // in ext/opencv/mat_imgproc.cpp
rb_define_method(rb_klass, "threshold", RUBY_METHOD_FUNC(rb_threshold), 3); // in ext/opencv/mat_imgproc.cpp

42
ext/opencv/mat_imgproc.cpp
View file

@ -301,6 +301,18 @@ namespace rubyopencv {
return self;
}
cv::Mat* rb_blur_internal(int argc, VALUE *argv, VALUE self, cv::Mat* destptr) {
VALUE ksize, anchor, border_type;
rb_scan_args(argc, argv, "12", &ksize, &anchor, &border_type);
cv::Point anchor_value = NIL_P(anchor) ? cv::Point(-1, -1) : *(Point::obj2point(anchor));
int border_type_value = NIL_P(border_type) ? cv::BORDER_DEFAULT : NUM2INT(border_type);
cv::Mat* selfptr = obj2mat(self);
cv::blur(*selfptr, *destptr, *(Size::obj2size(ksize)), anchor_value, border_type_value);
return destptr;
}
/*
* Blurs an image using the normalized box filter.
*
@ -311,22 +323,32 @@ namespace rubyopencv {
* @opencv_func cv::blur
*/
VALUE rb_blur(int argc, VALUE *argv, VALUE self) {
VALUE ksize, anchor, border_type;
rb_scan_args(argc, argv, "12", &ksize, &anchor, &border_type);
cv::Point anchor_value = NIL_P(anchor) ? cv::Point(-1, -1) : *(Point::obj2point(anchor));
int border_type_value = NIL_P(border_type) ? cv::BORDER_DEFAULT : NUM2INT(border_type);
cv::Mat* selfptr = obj2mat(self);
cv::Mat* dstptr = new cv::Mat();
cv::Mat* destptr = new cv::Mat();
try {
cv::blur(*selfptr, *dstptr, *(Size::obj2size(ksize)), anchor_value, border_type_value);
rb_blur_internal(argc, argv, self, destptr);
}
catch (cv::Exception& e) {
delete dstptr;
delete destptr;
Error::raise(e);
}
return mat2obj(dstptr, CLASS_OF(self));
return mat2obj(destptr, CLASS_OF(self));
}
/*
* @overload blur!(ksize, anchor = Point.new(-1, -1), border_type = BORDER_DEFAULT)
* @see #blue
*/
VALUE rb_blur_bang(int argc, VALUE *argv, VALUE self) {
cv::Mat* destptr = obj2mat(self);
try {
rb_blur_internal(argc, argv, self, destptr);
}
catch (cv::Exception& e) {
Error::raise(e);
}
return self;
}
/*

1
ext/opencv/mat_imgproc.hpp
View file

@ -17,6 +17,7 @@ namespace rubyopencv {
VALUE rb_resize(int argc, VALUE *argv, VALUE self);
VALUE rb_resize_bang(int argc, VALUE *argv, VALUE self);
VALUE rb_blur(int argc, VALUE *argv, VALUE self);
VALUE rb_blur_bang(int argc, VALUE *argv, VALUE self);
VALUE rb_gaussian_blur(int argc, VALUE *argv, VALUE self);
VALUE rb_median_blur(VALUE self, VALUE ksize);
VALUE rb_threshold(VALUE self, VALUE threshold, VALUE max_value, VALUE threshold_type);

38
test/test_mat_imgproc.rb
View file

@ -390,6 +390,44 @@ class TestCvMat < OpenCVTestCase
# Cv::wait_key
end
def test_blur_bang
m0 = Cv::imread(FILENAME_LENA256x256, -1)
m1 = m0.clone
m2 = m0.clone
m3 = m0.clone
ksize = Cv::Size.new(3, 3)
anchor = Cv::Point.new(1, 1)
m0.blur!(ksize)
m0.blur!(ksize, anchor)
m0.blur!(ksize, anchor, Cv::BORDER_REPLICATE)
blurs = [m1, m2, m3]
blurs.each { |m|
assert_equal(m0.rows, m.rows)
assert_equal(m0.cols, m.cols)
assert_equal(m0.depth, m.depth)
assert_equal(m0.dims, m.dims)
assert_equal(m0.channels, m.channels)
}
assert_raise(TypeError) {
m0.blur!(DUMMY_OBJ)
}
assert_raise(TypeError) {
m0.blur!(ksize, DUMMY_OBJ)
}
assert_raise(TypeError) {
m0.blur!(ksize, anchor, DUMMY_OBJ)
}
# w = Window.new('Blur')
# m0 = Cv::imread(FILENAME_LENA256x256, -1)
# m0.blur!(ksize, anchor, Cv::BORDER_REPLICATE)
# w.show(m0)
# Cv::wait_key
end
def test_gaussian_blur
m0 = Cv::imread(FILENAME_LENA256x256, -1)