A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis

K. Ohliger; T. Edeler; A. P. Condurache; A. Mertins

doi:10.1109/ICOSP.2010.5656033

A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis

K. Ohliger, T. Edeler, A. P. Condurache, A. Mertins

Institute of Signal Processing

Abstract

In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.

Original language	English
Title of host publication	IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS
Number of pages	4
Place of Publication	Beijing, China
Publisher	IEEE
Publication date	01.10.2010
Pages	885-888
Article number	5656033
ISBN (Print)	978-1-4244-5897-4
ISBN (Electronic)	978-1-4244-5900-1
DOIs	https://doi.org/10.1109/ICOSP.2010.5656033
Publication status	Published - 01.10.2010
Event	2010 IEEE 10th International Conference on Signal Processing - Beijing, China Duration: 24.10.2010 → 28.10.2010 Conference number: 83255

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Ohliger, K., Edeler, T., Condurache, A. P., & Mertins, A. (2010). A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis. In IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (pp. 885-888). Article 5656033 (International Conference on Signal Processing Proceedings, ICSP). IEEE. https://doi.org/10.1109/ICOSP.2010.5656033

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title = "A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis",

abstract = "In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.",

author = "K. Ohliger and T. Edeler and Condurache, {A. P.} and A. Mertins",

year = "2010",

month = oct,

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language = "English",

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series = "International Conference on Signal Processing Proceedings, ICSP",

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note = "2010 IEEE 10th International Conference on Signal Processing, ICSP2010 ; Conference date: 24-10-2010 Through 28-10-2010",

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Ohliger, K, Edeler, T, Condurache, AP & Mertins, A 2010, A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis. in IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS., 5656033, International Conference on Signal Processing Proceedings, ICSP, IEEE, Beijing, China, pp. 885-888, 2010 IEEE 10th International Conference on Signal Processing, Beijing, China, 24.10.10. https://doi.org/10.1109/ICOSP.2010.5656033

A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis. / Ohliger, K.; Edeler, T.; Condurache, A. P. et al.
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS. Beijing, China: IEEE, 2010. p. 885-888 5656033 (International Conference on Signal Processing Proceedings, ICSP).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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N2 - In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.

AB - In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.

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BT - IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS

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Ohliger K, Edeler T, Condurache AP, Mertins A. A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis. In IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS. Beijing, China: IEEE. 2010. p. 885-888. 5656033. (International Conference on Signal Processing Proceedings, ICSP). doi: 10.1109/ICOSP.2010.5656033

A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis

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