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Explicit Content Image Detection

Explicit Content Image Detection

ISSN : 0976 - 710X
Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Jorge Alberto Marcial Basilio, Gualberto Aguilar Torres, Gabriel Sanchez Perez, Linda Karina Toscano Medina, Hector Manuel Perez Meana and Enrique Escamilla Hernadez, Signal & Image Processing : An International Journal
Dibuat : 2012-06-26, dengan 1 file

Keyword : Skin Detection, HSV Color Model, Explicit Content, Pattern Recognition, Computer Vision
Subjek : Explicit Content Image Detection
Url : http://airccse.org/journal/sipij/papers/1210sipij05.pdf
Sumber pengambilan dokumen : Internet

This paper proposes a system gives for explicit content image detection based on Computer Vision


Algorithms, pattern recognition and FTK software Explicit Image Detection. In the first stage, HSV color


model is used for the input images for the purpose of discriminating elements that are not human skin


images. Then the image is filtered using skin detection. The output image only contains the areas of which


it is composed. The results show a comparison between the proposed system and the company software


Access Data called Forensic Toolkit 3.1 Explicit Image Detection isperformed.

Deskripsi Alternatif :

This paper proposes a system gives for explicit content image detection based on Computer Vision


Algorithms, pattern recognition and FTK software Explicit Image Detection. In the first stage, HSV color


model is used for the input images for the purpose of discriminating elements that are not human skin


images. Then the image is filtered using skin detection. The output image only contains the areas of which


it is composed. The results show a comparison between the proposed system and the company software


Access Data called Forensic Toolkit 3.1 Explicit Image Detection isperformed.

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiSignal & Image Processing : An International Journal
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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