Decomposition by extrema is put into the context of linear vision systems and scale-space. One dimensional discrete M- and N-sieves neither introduce new edges as the scale increases nor create new extrema. They share this property with diffusion based filters. Furthermore M- and N-sieve algorithms are extremely fast with order complexity n. Used to decompose an image, the resulting granularity is appropriate for pattern recognition.
|Number of pages||6|
|Publication status||Published - Jun 1995|
|Event||5th International Conference on Computer Vision - Cambridge, United States|
Duration: 20 Jun 1995 → 23 Jun 1995
|Conference||5th International Conference on Computer Vision|
|Period||20/06/95 → 23/06/95|