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add Cv::threshold

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ser1zw 2016-08-13 01:34:48 +09:00
parent 45e10202cf
commit a544115b55
5 changed files with 101 additions and 0 deletions
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46
ext/opencv/mat_imgproc.cpp
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@ -265,5 +265,51 @@ namespace rubyopencv {
return mat2obj(dstptr, CLASS_OF(self));
}
/*
* Applies a fixed-level threshold to each array element.
*
* @overload threshold(threshold, max_value, type)
* @param threshold [Number] Threshold value
* @param max_value [Number] Maximum value to use with the <tt>THRESH_BINARY</tt> and
* <tt>THRESH_BINARY_INV</tt> thresholding types.
* @param threshold_type [Integer] Thresholding type
* * THRESH_BINARY
* * THRESH_BINARY_INV
* * THRESH_TRUNC
* * THRESH_TOZERO
* * THRESH_TOZERO_INV
* * THRESH_MASK
* * THRESH_OTSU
* * THRESH_TRIANGLE
* @return [Mat] Output array of the same size and type as <tt>self</tt>.
* @return [Array<Mat, Number>] Output array and optimal threshold when using
* <tt>THRESH_OTSU</tt> or <tt>THRESH_TRIANGLE</tt>.
* @opencv_func cv::threshold
*/
VALUE rb_threshold(VALUE self, VALUE threshold, VALUE max_value, VALUE threshold_type) {
cv::Mat* selfptr = obj2mat(self);
cv::Mat* dstptr = NULL;
double optimal_threshold = 0.0;
int threshold_type_value = NUM2INT(threshold_type);
try {
dstptr = new cv::Mat();
optimal_threshold = cv::threshold(*selfptr, *dstptr, NUM2DBL(threshold), NUM2DBL(max_value), threshold_type_value);
}
catch (cv::Exception& e) {
delete dstptr;
Error::raise(e);
}
VALUE ret = Qnil;
VALUE dst = mat2obj(dstptr, CLASS_OF(self));
if ((threshold_type_value & cv::THRESH_OTSU) || (threshold_type_value & cv::THRESH_TRIANGLE)) {
ret = rb_assoc_new(dst, DBL2NUM(optimal_threshold));
}
else {
ret = dst;
}
return ret;
}
}
}