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tested CvMat#hough_lines_standard

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ser1zw 2011-03-19 20:31:52 +09:00
parent 5a0ae9e524
commit 7eb93ccde3
2 changed files with 28 additions and 0 deletions
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test/test_cvmat_imageprocessing.rb
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@ -11,6 +11,7 @@ class TestCvMat_imageprocessing < OpenCVTestCase
FILENAME_LENA256x256 = File.expand_path(File.dirname(__FILE__)) + '/samples/lena-256x256.jpg'
FILENAME_LENA32x32 = File.expand_path(File.dirname(__FILE__)) + '/samples/lena-32x32.jpg'
FILENAME_CONTOURS = File.expand_path(File.dirname(__FILE__)) + '/samples/contours.jpg'
FILENAME_LINES = File.expand_path(File.dirname(__FILE__)) + '/samples/lines.jpg'
def test_sobel
mat0 = CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)
@ -1274,5 +1275,32 @@ class TestCvMat_imageprocessing < OpenCVTestCase
mat1 = mat0.watershed(marker)
assert_equal('ee6bec03296039c8df1899d3edc4684e', hash_img(mat1))
end
def test_hough_lines_standard
mat0 = CvMat.load(FILENAME_LINES, CV_LOAD_IMAGE_ANYCOLOR | CV_LOAD_IMAGE_ANYDEPTH)
# make a binary image
mat = CvMat.new(mat0.rows, mat0.cols, :cv8u, 1)
(mat0.rows * mat0.cols).times { |i|
mat[i] = (mat0[i][0] <= 100) ? CvScalar.new(0) : CvScalar.new(255);
}
seq = mat.hough_lines_standard(1, Math::PI / 180, 65)
assert_equal(4, seq.size)
# Uncomment the following lines to show the result
# seq.each { |line|
# cos = Math::cos(line.theta)
# sin = Math::sin(line.theta)
# x0 = line.rho * cos
# y0 = line.rho * sin
# pt1 = CvPoint.new
# pt2 = CvPoint.new
# pt1.x = x0 + mat.width * 10 * (-sin)
# pt1.y = y0 + mat.height * 10 * (cos)
# pt2.x = x0 - mat.width * 10 * (-sin)
# pt2.y = y0 - mat.height * 10 * (cos)
# mat0.line!(pt1, pt2, :color => CvColor::Red, :thickness => 1, :line_type => :aa)
# }
# snap mat0
end
end