False Contours
False Contours
The results in Figure 1 show that of the two partitioning (before and after
the contour relaxation) the latter is generally more accurate.
For instance, the boundary pixel locations in the latter
corresponds closely to the edges in the original image (note in particular
the regions corresponding to the legs of the tripod). However, an exception
to this is the sky region. It is apparent that after the contour relaxation
the sky region is broken into many smaller regions. Although this
partitioning is mathematically consistent with the underlying model,
visually it is not very pleasing. We perceive the sky region (which has a
smoothly varying intensity) as one region. In contrast, the segmentation
algorithm describes such a region as consisting of many smaller piecewise
constant regions. As a result, the boundaries between the smaller regions
are perceived as false contours. A method to alleviate this problem is
described in section 4.