An Intelligent Skin Color Detection Method Based on FCM with Big Data

2020 ◽  
Author(s):  
Chih-Huang Yen ◽  
Po-Kai Yang
Keyword(s):  
Big Data ◽  
Skin Color ◽  
Detection Method ◽  
Skin Color Detection ◽  
Color Detection

SHAPE-BASED ADULT IMAGE DETECTION

2006 ◽  
Vol 06 (01) ◽  
pp. 115-124 ◽  
Author(s):  
QING-FANG ZHENG ◽  
WEI ZENG ◽  
WEI-QIANG WANG ◽  
WEN GAO
Keyword(s):  
Skin Color ◽  
Detection Method ◽  
Skin Detection ◽  
Shape Descriptors ◽  
Shape Features ◽  
Image Detection ◽  
Classification Schemes ◽  
Skin Color Detection ◽  
Color Detection ◽  
Boosted Classifiers

This paper investigates adult images detection based on the shape features of skin regions. In order to accurately detect skin regions, we propose a skin detection method using multi-Bayes classifiers in the paper. Based on skin color detection results, shape features are extracted and fed into a boosted classifier to decide whether or not the skin regions represent a nude. We evaluate adult image detection performance using different boosted classifiers and different shape descriptors. Experimental results show that classification using boosted C4.5 classifier and combination of different shape descriptors outperforms other classification schemes.

Illumination-adaptive skin color detection method

2011 ◽  
Vol 31 (5) ◽  
pp. 1233-1236
Author(s):  
Xia XIONG ◽  
Qing-bing SANG
Keyword(s):  
Skin Color ◽  
Detection Method ◽  
Skin Color Detection ◽  
Color Detection

Skin Color Detection Method Based on Direct Least Square Ellipse Fitting in CrCbCg Space

2011 ◽  
Vol 366 ◽  
pp. 28-31 ◽  
Author(s):  
Jin Guang Sun ◽  
Yu Cheng Zhou
Keyword(s):  
Skin Color ◽  
Detection Method ◽  
Three Dimensional ◽  
Least Square ◽  
Ellipse Fitting ◽  
Complex Environment ◽  
Color Distribution ◽  
Skin Color Detection ◽  
Color Detection ◽  
Fitting In

Skin color detection is an important in computer vision.This work presents a new efficient method for skin color detection based on an improved direct least square ellipse fitting in the space CrCbCg. The color distribution statistics of three-dimensional CrCbCg is obtained by fitting the color distribution ellipse boundary in the Cr-Cb, Cr-Cg, Cb-Cg plane exactly ,finally ,the criteria based on the statistics is used to detect skin color area accurately. Experimental results show that this method improves the robustness of the skin color detection to complex environment.

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