Automatic detection of pale path and overlaps in chromosome images using adaptive search technique and re-thresholding

Authors

Rajeev Ranjan, Indian Institute of Technology Kharagpur
Akila A. Subasinghe, Western University
Jagath Samarabandu, Western University
Peter K. Rogan, Western University
Joan H.M. Knoll, Western University

Document Type

Conference Proceeding

Publication Date

6-15-2012

Journal

VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications

Volume

1

First Page

462

Last Page

466

Abstract

Detection and separation of overlapping and touching chromosomes is a critical issue in image analysis applications for cytogenetics where accurately segmented chromosomes are essential. We present a novel method of automatic pale path detection for all types of stained chromosome images. Optimum number of cut-points for each cluster of touching or overlapping chromosomes is obtained and analysed sequentially for the pale paths. A self-adaptive search window searches for the minimum grayscale intensity beginning from the vicinity of a cut-point and propagates gradually till the end of pale path. Efficient image and area thresholding restricts the faulty detection of touch or overlap in a chromosome cluster.