Classification and indexing of gene expression images

K Jayaraman, S Panchanathan, S Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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 languageAmerican English
Title of host publicationApplications Of Digital Image Processing Xxiv
EditorsAG Tescher
Pages471-481
Number of pages5
Volume4472
DOIs
StatePublished - 2001

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
ISSN (Print)0277-786X

Keywords

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

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