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