Jaccard similarity coefficient for image segmentation
computes the intersection of binary images similarity
= jaccard(BW1
,BW2
)BW1
and
BW2
divided by the union of BW1
and
BW2
, also known as the Jaccard index. The images can be
binary images, label images, or categorical images.
computes the Jaccard index for each label in label images similarity
= jaccard(L1
,L2
)L1
and L2
.
computes the Jaccard index for each category in categorical images
similarity
= jaccard(C1
,C2
)C1
and C2
.