TY  - JOUR
T1  - Skin Segmentation by Using Complex Valued Neural Network with HSV Color Spaces
AU  - Capa Kiziltas, Eda
AU  - Uzun, Ayşenur
AU  - Yılmaz, Ersen
PY  - 2019
DA  - March
JF  - International Journal of Multidisciplinary Studies and Innovative Technologies
JO  - IJMSIT
PB  - SET Teknoloji
WT  - DergiPark
SN  - 2602-4888
SP  - 1
EP  - 4
VL  - 3
IS  - 1
LA  - en
AB  - Nowadays, digital image processing is usefultool in daily life for security, surveillance and artificial intelligenceapplications. Mainly in nudity alerts and face detection, skin segmentation iswidely preferred method due to its simple background. The main problem in skinsegmentation is skin color variation that result of different percentage ofpigments, number and size of melanin particles in human-being. In literature,there are rule-based and hybrid models for skin segmentation, howeverrule-based algorithm are not enough to overcome skin variety. As hybrid modeComplex valued neural network (CVNN) and color space transformation is applied toSkin Segmentation Database from UCI Learning Repository that is collection ofdifferent age and race group human’s skin samples in RGB format.
KW  - Skin Segmentation
KW  - Complex valued neural network (CVNN)
KW  - Machine Learning
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UR  - https://dergipark.org.tr/tr/pub/ijmsit/issue//513479
L1  - https://dergipark.org.tr/tr/download/article-file/662740
ER  -