TY  - JOUR
AU  - Alqadi, Z. 
AU  - Musbah, J. 
AU  - Montengro, A. L. 
PY  - 2008
TI  - Separating Low Pass and High Pass Frequencies in the Image Without loosing information
JF  - Journal of Computer Science
VL  - 4
IS  - 10
DO  - 10.3844/jcssp.2008.857.863
UR  - https://thescipub.com/abstract/jcssp.2008.857.863
AB  - Granulometries are morphological image analysis tools that are particularly useful for
estimating object sizes in binary and grayscale images, or for characterizing textures based on their
pattern spectra. There are many applications that morphology can be applied to. Some morphological
operations like dilation, erosion and open-close are used in image and video processing, but with no
application to pre-processing for increasing a Codec's performance. These operations can be used as
filters and if applied on an image, some information will be lost. In order to avoid information loose a
sequence of morphological operation is suggested, this sequence can be used to separate low pass and
high pass frequencies from the image without throwing any piece of data and the original image can
always be reconstructed.