potok/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-07-29 23:33:05 +04:00
Code Packages Releases Wiki Activity

imgproc: accept CV_Bool masks in distanceTransform

Browse Source 
cv::Mat_<bool>::depth() returns CV_Bool in 5.0 where it returned CV_8U in
4.x, so distanceTransform started rejecting boolean masks. CV_Bool is a
1-byte type whose values are only zero-tested here, so accept it wherever
a CV_8UC1 mask was previously accepted, matching the 4.x behaviour and the
4->5 migration guide.

Relaxes the type checks on all four reachable paths: the public wrapper,
distanceTransform_L1_8U, trueDistTrans (DIST_MASK_PRECISE) and
distanceATS_L1_8u (CV_8U output).

Closes #29596
This commit is contained in:
Trishanth Mellimi
2026-07-24 23:48:00 +05:30
parent 864f9594ad
commit b41cda2b93
2 changed files with 53 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/imgproc/test/test_distancetransform.cpp
+45
View File
@@ -209,4 +209,49 @@ TEST(Imgproc_DistanceTransform, ipp_deterministic)
}
}
// See https://github.com/opencv/opencv/issues/29596
// cv::Mat_<bool>::depth() returns CV_Bool in 5.0, where it was CV_8U in 4.x, so
// distanceTransform started rejecting boolean masks. CV_Bool is a 1-byte type
// whose values are only ever zero-tested here, so the result must match the one
// produced by an equivalent CV_8UC1 mask.
TEST(Imgproc_DistanceTransform, bool_mask_29596)
{
Mat_<bool> mask(7, 7, true);
mask(3, 3) = false;
mask(0, 6) = false;
Mat_<uchar> ref(7, 7, (uchar)255);
ref(3, 3) = 0;
ref(0, 6) = 0;
ASSERT_EQ(mask.depth(), CV_Bool);
// CV_32F output: 3x3 and 5x5 kernels, plus the precise (trueDistTrans) path
const int maskSizes[] = { DIST_MASK_3, DIST_MASK_5, DIST_MASK_PRECISE };
for (size_t i = 0; i < sizeof(maskSizes)/sizeof(maskSizes[0]); i++)
{
Mat dist_bool, dist_ref;
ASSERT_NO_THROW(distanceTransform(mask, dist_bool, DIST_L2, maskSizes[i]));
distanceTransform(ref, dist_ref, DIST_L2, maskSizes[i]);
EXPECT_EQ(cv::norm(dist_bool, dist_ref, NORM_INF), 0) << "maskSize = " << maskSizes[i];
}
// CV_8U output path (distanceTransform_L1_8U -> distanceATS_L1_8u)
{
Mat dist_bool, dist_ref;
ASSERT_NO_THROW(distanceTransform(mask, dist_bool, DIST_L1, DIST_MASK_3, CV_8U));
distanceTransform(ref, dist_ref, DIST_L1, DIST_MASK_3, CV_8U);
EXPECT_EQ(cv::norm(dist_bool, dist_ref, NORM_INF), 0);
}
// labels overload
{
Mat dist_bool, labels_bool, dist_ref, labels_ref;
ASSERT_NO_THROW(distanceTransform(mask, dist_bool, labels_bool, DIST_L2, DIST_MASK_5));
distanceTransform(ref, dist_ref, labels_ref, DIST_L2, DIST_MASK_5);
EXPECT_EQ(cv::norm(dist_bool, dist_ref, NORM_INF), 0);
EXPECT_EQ(cv::norm(labels_bool, labels_ref, NORM_INF), 0);
}
}
}} // namespace