Articles liés à Fusion Technique for Robust Human Skin Detection: Comparativ...

Fusion Technique for Robust Human Skin Detection: Comparative Evaluation with Fusion Approach - Couverture souple

M. P., Vasudha

 
9786137338933: Fusion Technique for Robust Human Skin Detection: Comparative Evaluation with Fusion Approach
Couverture souple
ISBN 10 : 6137338932 ISBN 13 : 9786137338933
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

Human skin color provides cue to infer variation in culture, race, health, age, wealth, beauty etc and promotes human recognition. Detection and classification of skin color and non skin color pixels is a challenging task and highly expensive. Human visual system incorporates color opponency. Variation in skin color of an image is caused by camera characteristics, ethnicity, subject appearances, background colors, shadows and motion. In fusion technique we used the product of two features to perform automatic skin detection. The frequency variation in RGB color space is removed before applying LO color and includes Logarithm coding and indexing. The skin threshold value(s) are calculated by using online dynamic approach and elliptical gaussian mixture model with 2D histogram and smoothened densities is used for classifying skin pixels. In our technique we used color image(s) obtained under different illumination conditions, different locations, to obtain single and/or multiple images. The proposed technique (i) reduces computational costs as no training is required, (ii) reduces the false positive ratio and provides comparatively more robust and accurate results in skin detection.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Human skin color provides cue to infer variation in culture, race, health, age, wealth, beauty etc and promotes human recognition. Detection and classification of skin color and non skin color pixels is a challenging task and highly expensive. Human visual system incorporates color opponency. Variation in skin color of an image is caused by camera characteristics, ethnicity, subject appearances, background colors, shadows and motion. In fusion technique we used the product of two features to perform automatic skin detection. The frequency variation in RGB color space is removed before applying LO color and includes Logarithm coding and indexing. The skin threshold value(s) are calculated by using online dynamic approach and elliptical gaussian mixture model with 2D histogram and smoothened densities is used for classifying skin pixels. In our technique we used color image(s) obtained under different illumination conditions, different locations, to obtain single and/or multiple images. The proposed technique (i) reduces computational costs as no training is required, (ii) reduces the false positive ratio and provides comparatively more robust and accurate results in skin detection.

Biographie de l'auteur

Ms. Vasudha. MP is a research scholar in Electronics Engineering, Jain University. She has obtained her Bachelor’s Degree in Electronics and Communication Engineering from NIE in 2011 and Master’s Degree in Signal Processing and VLSI from Jain University in 2013 with gold medal. She is working as Principle Co-Investigator for 3 funded ISRO projects

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
6137338932
ISBN 13 
9786137338933
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne