Texture Features Extraction of Human Leather Ports Based on Histogram

Anita Sindar Sinaga

doi:10.24014/ijaidm.v1i2.6084

Texture Features Extraction of Human Leather Ports Based on Histogram

Anita Sindar Sinaga

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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DOI: http://dx.doi.org/10.24014/ijaidm.v1i2.6084

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