Skin Cancer Detection Using GLCM and ABCD Parameter

Authors

  • V. Supraja  Associate Professor, ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • G. Gayathri  ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • K. Thanuja  ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • K. Harshitha  ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India
  • M. N. Sasikala  ECE, Ravindra College of Engineering for Women, Kurnool, Andhra Pradesh, India

DOI:

https://doi.org/10.32628/IJSRSET207352

Keywords:

Melanoma, Color models, GLCM features, ABCD parameters, Back propagation network.

Abstract

Lately, skin malignancy is viewed as one of the most Perilous types of diseases found in People. Skin malignant growth is found in different sorts, for example, Melanoma, Basal and Squamous cell Carcinoma among which Melanoma is the most capricious. The discovery of Melanoma malignant growth in the beginning period can be useful to fix it. PC vision can assume a significant job in Clinical Picture Analysis and it has been demonstrated by many existing frameworks. Right now, we present a PC helped strategy for the location of Melanoma Skin Malignant growth utilizing Picture Preparing instruments. The contribution to the framework is the skin sore picture and afterwards by applying novel picture preparing systems, it investigations it to close about the nearness of skin malignancy. The Lesion Picture investigation devices checks for the different Melanoma parameters Like Asymmetry, Boundary, Color, Diameter (ABCD) and so on by surface, size and shape investigation for picture division and highlight stages. The extricated highlight parameters are utilized to characterize the picture as Ordinary skin and Melanoma malignant growth lesion.

References

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Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
V. Supraja, G. Gayathri, K. Thanuja, K. Harshitha, M. N. Sasikala "Skin Cancer Detection Using GLCM and ABCD Parameter" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.233-239, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRSET207352