Segmentation of Parasites for High-Content Screening Using Phase Congruency and Grayscale Morphology

Daniel Asarnow; Rahul Singh

doi:10.1007/978-3-642-33179-4_6

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Segmentation of Parasites for High-Content Screening Using Phase Congruency and Grayscale Morphology

Conference proceeding

Peer reviewed

Segmentation of Parasites for High-Content Screening Using Phase Congruency and Grayscale Morphology

Daniel Asarnow and Rahul Singh

ADVANCES IN VISUAL COMPUTING, ISVC 2012, PT I, Vol.7431(1), pp.51-60

Lecture Notes in Computer Science

01/01/2012

DOI: 10.1007/978-3-642-33179-4_6

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Abstract

Schistosomiasis is a parasitic disease with a global health impact second only to malaria. The World Health Organization has determined new therapies for schistosomiasis are urgently needed, however the causative parasite is refractory to high-throughput drug screening due to the need for a human expert to analyze the effects of putative drugs. Currently, there is no vision system capable of relieving this bottleneck with sufficient accuracy for the automated analysis of parasite phenotypes. We presented a region-based method with performance limited primarily by poor edge detection caused by body irregularities, groups of touching parasites and unpredictable effects of drug exposure. Towards ameliorating this difficulty, we propose an edge detector utilizing phase congruency and grayscale thinning. The detector can be used to impose the correct topology on a segmented image - an essential step towards accurate segmentation of parasites.

Computer Science

Technology

Computer Science, Artificial Intelligence

Computer Science, Information Systems

Computer Science, Theory & Methods

Life Sciences & Biomedicine

Mathematical & Computational Biology

Science & Technology

Details

Title: Subtitle: Segmentation of Parasites for High-Content Screening Using Phase Congruency and Grayscale Morphology
Creators: Daniel Asarnow - San Francisco State University
Rahul Singh - San Francisco State University
Contributors: G Bebis (Editor)
R Boyle (Editor)
B Parvin (Editor)
D Koracin (Editor)
C Fowlkes (Editor)
S Wang (Editor)
M H Choi (Editor)
S Mantler (Editor)
J Schulze (Editor)
D Acevedo (Editor)
K Mueller (Editor)
M Papka (Editor)
Resource Type: Conference proceeding
Publication Details: ADVANCES IN VISUAL COMPUTING, ISVC 2012, PT I, Vol.7431(1), pp.51-60
Series: Lecture Notes in Computer Science
DOI: 10.1007/978-3-642-33179-4_6
ISSN: 0302-9743
eISSN: 1611-3349
Publisher: Springer Nature
Number of pages: 10
Language: English
Date published: 01/01/2012
Academic Unit: Computer Science
Record Identifier: 9984446531502771

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