Classification and indexing of gene expression images

Karthik Jayaraman; Sethuraman Panchanathan; Sudhir Kumar

doi:10.1117/12.449777

7 December 2001 Classification and indexing of gene expression images

Karthik Jayaraman, Sethuraman Panchanathan, Sudhir Kumar

Proceedings Volume 4472, Applications of Digital Image Processing XXIV; (2001) https://doi.org/10.1117/12.449777
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

Karthik Jayaraman, Sethuraman Panchanathan, and Sudhir Kumar "Classification and indexing of gene expression images", Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); https://doi.org/10.1117/12.449777

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