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All Journal Indonesian Journal of Artificial Intelligence and Data Mining
Anita Sindar Sinaga
Teknik Informatika, STMIK Pelita Nusantara Medan
Computer Science & IT

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Texture Features Extraction of Human Leather Ports Based on Histogram Anita Sindar Sinaga
Indonesian Journal of Artificial Intelligence and Data Mining Vol 1, No 2 (2018): September 2018
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.383 KB) | DOI: 10.24014/ijaidm.v1i2.6084

Abstract

Skin problems general are distinguished on healthy and unhealthy skin. Based on the pores, unhealthy skin: dry, moist or oily skin. Skin problems are identified from the image capture results. Skin image is processed using histogram method which aim to get skin type pattern. The study used 7 images classified by skin type, determined histogram, then extracted with features of average intensity, contrast, slope, energy, entropy and subtlety. Specified skin type reference as a skin test comparator. The histogram-based skin feature feature aims to determine the pattern of pore classification of human skin. The results of the 1, 2, 3 leaf image testing were lean to normal skin (43%), 4, 5, tends to dry skin (29%), 6.7 tend to oily skin (29%). Percentage of feature-based extraction of histogram in image processing reaches 90-95%.
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