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J.G. Postaire, R.D. Zhang, C. LecocqBotte, "Cluster Analysis by Binary Morphology," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 2, pp. 170180, February, 1993.  
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@article{ 10.1109/34.192490, author = {J.G. Postaire and R.D. Zhang and C. LecocqBotte}, title = {Cluster Analysis by Binary Morphology}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {15}, number = {2}, issn = {01628828}, year = {1993}, pages = {170180}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.192490}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Pattern Analysis and Machine Intelligence TI  Cluster Analysis by Binary Morphology IS  2 SN  01628828 SP170 EP180 EPD  170180 A1  J.G. Postaire, A1  R.D. Zhang, A1  C. LecocqBotte, PY  1993 KW  binary morphology; unsupervised pattern classification; mathematical morphology operations; multidimensional observations; mathematical discrete binary set; well separated subsets; pattern recognition; set theory VL  15 JA  IEEE Transactions on Pattern Analysis and Machine Intelligence ER   
An approach to unsupervised pattern classification that is based on the use of mathematical morphology operations is developed. The way a set of multidimensional observations can be represented as a mathematical discrete binary set is shown. Clusters are then detected as well separated subsets by means of binary morphological transformations.
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