Using Simple Decomposition for Smoothing and Feature Point Detection of Noisy Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extending case-based reasoning by discovering and using image features in IVF
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
BAS: a perceptual shape descriptor based on the beam angle statistics
Pattern Recognition Letters
A curvature-based multiresolution automatic karyotyping system
Machine Vision and Applications
Pattern Recognition Letters
Natural landmark extraction for mobile robot navigation based on an adaptive curvature estimation
Robotics and Autonomous Systems
A novel algorithm for straightening highly curved images of human chromosome
Pattern Recognition Letters
IEICE - Transactions on Information and Systems
Affine-invariant contours recognition using an incremental hybrid learning approach
Pattern Recognition Letters
On the decomposition of cell clusters
Journal of Mathematical Imaging and Vision
Automatic segmentation and disentangling of chromosomes in Q-band prometaphase images
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
A compact shape descriptor based on the beam angle statistics
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Identifying touching and overlapping chromosomes using the watershed transform and gradient paths
Pattern Recognition Letters
Segmentation and centromere locating methods applied to fish chromosomes images
BSB'05 Proceedings of the 2005 Brazilian conference on Advances in Bioinformatics and Computational Biology
A review of thresholding strategies applied to human chromosome segmentation
Computer Methods and Programs in Biomedicine
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A common task in cytogenetic tests is the classification of human chromosomes. Successful separation between touching and overlapping chromosomes in a metaphase image is vital for correct classification. Current systems for automatic chromosome classification are mostly interactive and require human intervention for correct separation between touching and overlapping chromosomes.Since chromosomes are nonrigid objects, special separation methods are required to segregate them. Common methods for separation between touching chromosomes tend to fail where ambiguity or incomplete information are involved, and so are unable to segregate overlapping chromosomes. The proposed approach treats the separation problem as an identification problem, and, in this way, manages to segregate overlapping chromosomes. This approach encompasses low-level knowledge about the objects and uses only extracted information, therefore, it is fast and does not depend on the existence of a separating path. The method described in this paper can be adopted for other applications, where separation between touching and overlapping nonrigid objects is required.