Classification and indexing of gene expression images

Karthik Jayaraman, Sethuraman Panchanathan, Sudhir Kumar

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


In this paper, we present an approach for classification and indexing of embryonic gene expression pattern images using shape descriptors for retrieval of data in the biological domain. For this purpose, the image is first subjected to a registration process that involves edge fitting and size-standardization. It is followed by segmentation in order to delineate the expression pattern from the cellular background. The moment invariants for the segmented pattern are computed. Image dissimilarity between images is computed based on these moment invariants for each image pair. Area and Centroids of the segmented expression shapes are used to neutralize the invariant behavior of moment invariants during image retrieval. Details of the proposed approach along with analysis of a pilot dataset are presented in this paper.

Original languageEnglish (US)
Pages (from-to)471-481
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2001
EventApplications for Digital Image Processing XXIV - San Diego, CA, United States
Duration: Jul 31 2001Aug 3 2001


  • Classification
  • Content-based retrieval
  • Gene expression image database
  • Indexing
  • Pattern recognition
  • Shape features

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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