TY  - JOUR
TI  - COMPARISON OF DEEP LEARNING WITH MACHINE LEARNING ON SKIN
SEGMENTATION
AB  - In this study, a skin segmentation study is investigated with deep learning methods. The skin segmentation problem is chosen
as a case study. The main reason for this is that there are numerous studies on this subject and the abundance of available data sets.
In addition, images containing skin pixels contain multiple attributes. That's why human images are very suitable for comparative
studies on machine learning and deep learning. In the first stage of this study, skin segmentation will be done by using RGB space,
which contains deep information as an attribute in machine learning. At the same time, to show the success of the deep learning
algorithm, the effect of deep learning will be tested by converting images to grayscale, and success differences will be given
AU  - Kaya, Utku
AU  - Fidan, Mehmet
DO  - 10.20290/estubtdb.1011591
PY  - 2021
JO  - Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimler
VL  - 9
IS  - ICONAT Special Issue
SN  - 2667-419X
SP  - 65
EP  - 68
DB  - TRDizin
UR  - http://search/yayin/detay/519002
ER  -