Multiscale gabor wavelet fusion for edge detection in microscopy images

A new algorithm fusion approach using wavelet filters is used to detect edges with low contrast in the presence of noise. Gabor wavelet edge filters are used at two scales and these are combined using algorithm fusion to locate edges of various sizes (scales) under varying contrast and noise conditions. This novel algorithm fusion approach is tested on different microscopy images of several materials and shown to be robust to these changing imaging conditions. A teal-time skeletonization approach is also discussed that applies a new and efficient hit and miss transform (HMT) to produce lines of one pixel width.