Earticle

초록

영어

This paper proposes a modified bacterial foraging algorithm with a probabilistic derivative approach to detect edges in chromosome images. Chromosomal Edge Detection is fundamental for automatic karyotyping for noise reduction and getting useful messages from the edges. Subjected to staining and other imaging constraints, chromosomal banding patterns lack in resolution, contrast and suffer from noise. For this reason, chromosomal edge detection is highly preferred prior to the segmentation and classification of chromosomes. When the chromosomes occlude or overlap, edge detection becomes extremely difficult. Edge detection is highly challenging and this paper presents a Modified Bacterial Foraging Algorithm (MBFA) based on a probabilistic derivative methodology based on Ant Colony Optimization (ACO) for the detection of edges in chromosomes. Bacterium searches for the nutrients in the direction decided by a probabilistic derivative approach derived from ACO and the edge pixels are identified and traversed. The study reveals that MBFA gives the most promising results in detecting chromosomal edges, greatly reducing the computation time and memory requirements. Acceptable values of parameters for performance evaluation like Kappa (K) and Entropy (E) are achieved with the proposed algorithm in comparison to the other conventional methods of edge detection.

목차

Abstract
 1. Introduction
 2. Bacterial Foraging Technique
 3. Probabilistic Derivative Approach
 4. Results
 5. Performance Evaluation
 6. Effect of variation of MBFA parameters
 7. Conclusion and Future Work
 Acknowledgements
 References

키워드

저자

• Sivaramakrishnan Rajaraman [ Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam-603110 – India ]
• Arun Chokkalingam [ Department of Electronics and Communication Engineering, R.M.K. College of Engineering and Technology, Kavarapettai-601206 - India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605