An improved iterative segmentation algorithm using canny edge detector for skin lesion border detection

International Arab Journal of Information Technology

Volumn 12, Issue 4, 2015, Pages 325-332

  Yasmin, Jaseema ^a   Sathik, Mohamed ^b  

^a NATIONAL COLLEGE OF ENGINEERING   (India)

^b Sadakathullah Appa College (Autonomous)   (India)

Author keywords

Border detection; Canny edge detector; Melanoma; Segmentation; Skin lesion

Indexed keywords

EID: 84936094792     PISSN: 16833198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Beevi Z., Sathik M., Kannan S., and Yasmin J., “Hybrid Segmentation Approach using FCM and Dominant Intensity Grouping with Region Growing on Medical image,” the International Journal of Advanced Research in Computer Science, vol. 1, no. 2, pp. 103-108, 2010.
2. Beevi Z. and Sathik M., “A Robust Segmentation Approach for Noisy Medical Images using Fuzzy Clustering with Spatial Probability,” the International Arab Journal of Information Technology, vol. 9, no. 1, pp. 74-83, 2012.
3. Celebi E., Kingravi H., Iyatomi H., Lee J., Aslandogan A., Stoecker W., Moss R., Malters J., and Marghoob A., “Fast and Accurate Border Detection in Dermoscopy Images using Statistical Region Merging,” in Proceedings of SPIE, Medical Imaging: Image Processing, San Francisco, USA, pp. 1-10, 2007.
4. Celebi E., Iyatomi H., and Schaefer G., and Stoecker W., “Lesion Border Detection in Dermoscopy Images,” the Computerized Medical Imaging and Graphics, vol. 33, no. 2, pp.148-153, 2009.
5. Ercal F., Moganti M., Stoecker W., and Moss R., “Detection of Skin Tumor Boundaries in Color Images,” the IEEE Transactions on Medical Imaging, vol. 12, no. 3, pp. 624-627, 1993.
6. Garnavi R., Aldeen M., Celebi E., Bhuiyan A., Dolianitis C., and Varigos G., “Automatic Segmentation of Dermoscopy Images using Histogram Thresholding on Optimal Color Channels,” the International Journal of Biological and Life Sciences, vol. 8, no. 2, pp. 126-134, 2012.
7. Gonzalez R., Woods R., and Lettings S., Digital Image Processing using Matlab, Prentice-Hall, USA, 2003.
8. Gonzalez R. and Woods R., Digital Image Processing, Prentice-Hall, India, 2008.
9. Jung C. and Scharcanski J., “Sharpening Dermatological Color Images in the Wavelet Domain,” IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 1, pp. 4-13, 2009.
10. Kang W., Yang Q., and Liang R., “The Comparative Research on Image Segmentation Algorithms,” in Proceedings of the 1st International Workshop on Education Technology and Computer Science, Hubei, China, pp. 703-707, 2009.
11. Mendonca T., Marcal A., Vieira A., Nascimento J., Silveira M., Marques J., and Rozeira J., “Comparison of Segmentation Methods for Automatic Diagnosis of Dermoscopy Images,” in Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France, pp. 6572-6575, 2007.
12. Rodríguez R. and Suarez G., “A New Algorithm for Image Segmentation by using Iteratively the Mean Shift Filtering,” the Scientific Research and Essay, vol. 1, no. 2, pp. 43-48, 2006.
13. Shen T., Li H., and Huang X., “Active Volume Models for Medical Image Segmentation,” the IEEE Transactions on Medical Imaging, vol. 30, no. 3, pp. 774-789, 2011.
14. Tsai M., Chan Y., Lin Z., Yang-Mao S., and Huang P., “Nucleus and Cytoplast Contour Detector of Cervical Smear Image,” Pattern Recognition Letters, vol. 29, no. 9, pp. 1441-1453, 2008.
15. Xu L., Jackowski M., Goshtasby A., Roseman D., Bines S., Yu C., Dhawan A., and Huntley A., “Segmentation of Skin Cancer Images,” available at: http://noodle.med.yale.edu/~mjack/papers/skin99.pdf, last visited 2012.
16. Yasmin J., Sathik M., and Beevi Z., “Effective Border Detection of Noisy Real Skin Lesions for Skin Lesion Diagnosis by Robust Segmentation Algorithm,” the International Journal of Advanced Research in Computer Science, vol. 1, no. 3, pp. 110-116, 2010.
17. Zortea M., Skrøvseth S., Schopf T., Kirchesch H., and Godtliebsen F., “Automatic Segmentation of Dermoscopic Images by Iterative Classification,” the International Journal of Biomedical Imaging, vol. 2011, no. 3, pp. 1-17, 2011.