Image detection method based on improved Canny algorithm

Author(s):  
Xiangyang Zhu ◽  
Minan Tang ◽  
Kaiyue Zhang ◽  
Qianqian Wang
2021 ◽  
Vol 57 (8) ◽  
pp. 321-323
Author(s):  
Wenjie Wang ◽  
Mengling He ◽  
Xiaohua Wang ◽  
Weiming Yao

2017 ◽  
Vol 16 (5) ◽  
pp. 1881-1881
Author(s):  
Ming Chen ◽  
Yuhua Li ◽  
Zhifeng Zhang ◽  
Ching-Hsien Hsu ◽  
Shangguang Wang

2006 ◽  
Vol 06 (01) ◽  
pp. 115-124 ◽  
Author(s):  
QING-FANG ZHENG ◽  
WEI ZENG ◽  
WEI-QIANG WANG ◽  
WEN GAO

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.


2016 ◽  
Vol 13 (3) ◽  
pp. 557-570 ◽  
Author(s):  
Ming Chen ◽  
Yuhua Li ◽  
Zhifeng Zhang ◽  
Ching-Hsien Hsu ◽  
Shangguang Wang

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