Chromosome counting via digital image analysis

Victor Gajendran, Jeffrey J. Rodríguez

Research output: Contribution to journalConference articlepeer-review

13 Scopus citations


Currently, cytogenetic analysis is done using semiautomatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.

Original languageEnglish (US)
Pages (from-to)2929-2932
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 18 2004Oct 21 2004

ASJC Scopus subject areas

  • General Engineering


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