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Proceedings Paper

Classification and indexing of gene expression images
Author(s): Karthik Jayaraman; Sethuraman Panchanathan; Sudhir Kumar
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Paper 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.

Paper Details

Date Published: 7 December 2001
PDF: 11 pages
Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); doi: 10.1117/12.449777
Show Author Affiliations
Karthik Jayaraman, Arizona State Univ. (United States)
Sethuraman Panchanathan, Arizona State Univ. (United States)
Sudhir Kumar, Arizona State Univ. (United States)


Published in SPIE Proceedings Vol. 4472:
Applications of Digital Image Processing XXIV
Andrew G. Tescher, Editor(s)

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