Skin Cancer Detection using Image Processing Technique
K. Harish Reddy1, T.J. Nagalakshmi2
1K. Harish Reddy, Student, Department of ECE, Saveetha Institute of Medical and Science, SIMATS, Chennai (Tamil Nadu), India.
2Ms. T.J. Nagalakshmi, Assistant Professor, Department of ECE, Saveetha Institute of Medical and Science, SIMATS, Chennai (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 282-285 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10590886S19/19©BEIESP | DOI: 10.35940/ijeat.F1059.0886S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A skin homes like pores and skin dryness increase and unfavorably inclined warning signs for instance scratching kind of difficulty relationship with skin floor profile is talked about in the proposed proposition work. In the current situation, the pores and skin pix are examined in recurrence space. Be that as it may, it is considered that the skin shading in surface photographs does no longer fluctuate over a vast range. The dark shading profile of the skin surface may also give life thought regarding the pores and skin affectability and is some other growing pores and skin surface examination device. In the proposed work, skin dim shading profile has been taken as the data parameter so as to discover the pores and skin profile .To manage this inconvenience shoot there is a prerequisite to create PC supported indicative frameworks to motivate the regular population for the early location of the melanoma. The preliminary step contains skin damage division. The following simply improve is to cast off the spotlight and example examination strategies to make an analysis of the influenced region. This paper gives a sketch to manage the division, identification and characterization of the pores and skin disease and the influenced zone utilising pass breed picture handling strategies.
Keywords: Skin Cancer, Asymmetry, Border, Color, Diameter.
Scope of the Article: Image analysis and Processing