Abstract
In this paper we present a novel algorithm for the detection of dark linear structures, which appear in digital dermoscopy images of skin lesions and they are called as streaks in relevant literature. The proposed algorithm is capable of detecting such linear structures using local image curvature information obtained by the Hessian matrix. A linear structure is characterized as streak, based on its geometric characteristics. The streak detection algorithm is applied to a number of dermoscopy images containing malignant and non-malignant skin lesions. In this work we propose also a new class of streak based image features and we investigate their value in image classification according to malignancy.
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Reed, K.B., Brewer, J.D., Lohse, C.M., Bringe, K.E., Pruit, C.N., Gibson, L.E.: Increasing Incidence of Melanoma Among Young Adults: An Epidemiological Study in Olmsted County, Minnesota. Mayo Clinic Proceedings 87(4), 328–334 (2012)
Stern, R.S.: Prevalence of a history of skin cancer in 2007: results of an incidence-based model. Arch Dermatol. 146(3), 279–282 (2010)
Rogers, H.W., Weinstock, M.A., Harris, A.R., et al.: Incidence estimate of nonmelanoma skin cancer in the United States, 2006. Arch Dermatol. 146(3), 283–287 (2010)
American Cancer Society. Cancer Facts & Figures (2015). http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2015/ (accessed May 12, 2015)
Maglogiannis, I., Doukas, C.N.: Overview of advanced computer vision systems for skin lesions characterization. IEEE Trans. Inf. Technol. Biomed. 13(5), 721–733 (2009)
Korotkov, K., Garcia, R.: Computerized analysis of pigmented skin lesions: A review. Artificial Intelligence in Medicine 56(2), 69–90 (2012)
Sadeghi, M., Lee, T.K., McLean, D., Lui, H., Atkins, M.S.: Oriented pattern analysis for streak detection in dermoscopy images. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part I. LNCS, vol. 7510, pp. 298–306. Springer, Heidelberg (2012)
Sadeghi, M., Lee, T.K., McLean, D., Lui, H., Atkins, M.S.: Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions. IEEE T. on Medical Imaging 32(5), 849–861 (2013)
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., Van Gool, L.: A Comparison of Affine Region Detectors. International Journal of Computer Vision 65(1-2), 43–72 (2005)
Tuytelaars, T., Mikolajczy, K.: Local Invariant Feature Detectors: A Survey. Computer Graphics and Vision 3(3), 177–280 (2007)
Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Aylward, S., Bullitt, E.: Initialization, noise, singularities, and scale in height-ridge traversal for tubular object centerline extraction. IEEE Transactions on Medical Imaging 21, 61–75 (2002)
Martinez-Perez, E., Hughes, A., Thom, S., Bharath, A., Parker, K.: Segmentation of blood vessels from red-free and fluorescein retinal images. Medical Image Analysis 11, 47–61 (2007)
Lindeberg, T.: Edge detection and ridge detection with automatic scale selection. International Journal of Computer Vision 30(2), 117–156 (1996)
Maglogiannis, I., Delibasis, K.: Enhancing classification accuracy utilizing globules and dots features in digital dermoscopy. Computer Methods and Programs in Biomedicine 118(2), 124–133 (2015)
Steger, C.: Extracting lines using differential geometry and Gaussian smoothing. International Archives of Photogrammetry and Remote Sensing 16(B3), 821–826 (1996)
Kovesi, P.: MATLAB and Octave functions for computer vision and image processing. Centre for Exploration Targeting, The University of Western Australia. http://www.csse.uwa.edu.au/~pk/research/matlabfns/
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Delibasis, K., Kottari, K., Maglogiannis, I. (2015). Automated Detection of Streaks in Dermoscopy Images. In: Chbeir, R., Manolopoulos, Y., Maglogiannis, I., Alhajj, R. (eds) Artificial Intelligence Applications and Innovations. AIAI 2015. IFIP Advances in Information and Communication Technology, vol 458. Springer, Cham. https://doi.org/10.1007/978-3-319-23868-5_4
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DOI: https://doi.org/10.1007/978-3-319-23868-5_4
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