Title :
Morphological filtering of multi-level image using entropy
Author :
Choi, Jong-Ho ; Ko, Duck-Young
Author_Institution :
Dept. of Electron. Eng., Kang-Nam Univ., Kyunggi, South Korea
Abstract :
This paper presents new properties of the discrete morphological skeleton representation of binary images, for lossless binary image compression, that is based on these properties. We proposed a morphological recognition algorithm using threshold linear superposition theory to analyze the distribution of randomly spaced and oriented blob shaped particles. We recognized the size and position of randomly shaped particles by using the hit/miss transform. We also illustrate the improvement mathematical morphology makes on the entropy thresholding of small targets
Keywords :
data compression; filtering theory; image coding; image recognition; image representation; image thinning; mathematical morphology; maximum entropy methods; random processes; transform coding; discrete morphological skeleton representation; entropy thresholding; hit/miss transform; lossless binary image compression; mathematical morphology; maximum entropy; morphological filtering; morphological recognition algorithm; multi-level image; randomly oriented blob shaped particles distribution; randomly spaced shaped particles distribution; small targets; threshold linear superposition theory; Entropy; Filtering; Image analysis; Image processing; Image recognition; Morphological operations; Morphology; Shape; Signal processing algorithms; Skeleton;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818662
