I have registered two images, let's say fixed and moving are Registered. After registration I want to measure overlap ratio etc.  
The SimpleITK has overlap measure filters and to use overlap_measures_filter.Execute(fixed, moving) and hausdroff_measures_filter.Execute() we need to segment the image and we need labels in input.  But the image is hard to segment using just thresholding or connected component filters.  
Now the question is then how can we evaluate registration accuracy using SimpleITK with just fixed image and the registered image.(without segmentation ad labeling the image)
If I understand your question correctly, you want the impossible: to have Hausdorff distance measure as if the image were segmented, but without segmenting it because the segmentation is hard.
Image Registration accuracy evaluation (Hausdroff distance) using SimpleITK without segmenting the image