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A novel approach to implement gray-scale morphological
operations is presented in this work. This new technique is based
on the bitwise decomposition of the gray-scale image, yielding
bitplanes disposed according to their bit of significance. It is of
particular interest for implementations on Focal Plane Processors.
Our approach relies on the binary search method to obtain either
the maximum or minimum on a local neighborhood by manipulating
the binary levels resulting from the bitwise decomposition
with simple logic functions. This contrasts significantly with the
classical Threshold Decomposition (TD) approach, on which most
of the current techniques are based on. Our method shows better
efficiency than TD implementations. Further gains can be obtained
because our method shows a strong dependency on the image
CitationFrías-Velázquez, A.; Morros, J. Gray-scale erosion algorithm based on image bitwise decomposition: application to focal plane processors. A: IEEE International Conference on Acoustics, Speech and Signal Processing. "IEEE International Conference on Acoustics, Speech and Signal Processing 2009". Taipei, Taiwan: 2009, p. 845-848.
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