Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Reference :

  1. 1) Schmid P. “Segmentation of Digitized Dermatoscopic Images by Two-Dimensional Color Clustering,” IEEE Trans. On Medical Imaging, 1999. vol. 18 no.2 pp.164-171.

    2) Cucchiara R, Grana C, Seidenari S, Pellacani G. “Exploiting Color and Topological Features for Region Segmentation with Recursive Fuzzy c-means” Machine Graphics and Vision 2002; vol. 11 no.2/3 pp.169-182.

    3) Erkol B, Moss RH, Stanley RJ et al., “Automatic Lesion Boundary Detection in Dermoscopy Images Using Gradient Vector Flow Snakes” Skin Research and Technology 2005; vol. 11 no.1 pp.17- 26.

    4) Nikhil R Pal and Sankar K Pal “A review on image segmentation techniques”. Pattern Recognition, 1993; vol.26 no.9 pp.1277-1294

    5) Melli R, Grana C, Cucchiara R. “Comparison of Color Clustering Algorithms for Segmentation of Dermatological Images,” Proc. Of the SPIE Medical Imaging 2006 Conf., 6144: 1211-1219

    6) Comaniciu, D. & Meer, P. (2002). Mean shift: “A robust approach toward feature space analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24 no.5 pp. 603–619.


  2. 1) Schmid P. “Segmentation of Digitized Dermatoscopic Images by Two-Dimensional Color Clustering,” IEEE Trans. On Medical Imaging, 1999. vol. 18 no.2 pp.164-171.

    2) Cucchiara R, Grana C, Seidenari S, Pellacani G. “Exploiting Color and Topological Features for Region Segmentation with Recursive Fuzzy c-means” Machine Graphics and Vision 2002; vol. 11 no.2/3 pp.169-182.

    3) Erkol B, Moss RH, Stanley RJ et al., “Automatic Lesion Boundary Detection in Dermoscopy Images Using Gradient Vector Flow Snakes” Skin Research and Technology 2005; vol. 11 no.1 pp.17- 26.

    4) Nikhil R Pal and Sankar K Pal “A review on image segmentation techniques”. Pattern Recognition, 1993; vol.26 no.9 pp.1277-1294

    5) Melli R, Grana C, Cucchiara R. “Comparison of Color Clustering Algorithms for Segmentation of Dermatological Images,” Proc. Of the SPIE Medical Imaging 2006 Conf., 6144: 1211-1219

    6) Comaniciu, D. & Meer, P. (2002). Mean shift: “A robust approach toward feature space analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24 no.5 pp. 603–619.


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