DocumentCode :
2936060
Title :
A Breast Detecting Algorithm for Adult Image Recognition
Author :
Wang, Xiaoyin ; Hu, Changzhen ; Yao, Shuping
Author_Institution :
Lab. of Comput. Network Defense Technol., Beijing Inst. of Technol., Beijing, China
Volume :
4
fYear :
2009
fDate :
26-27 Dec. 2009
Firstpage :
341
Lastpage :
344
Abstract :
Information spreading on the Internet is increasing explosively. Juveniles should be protected from the harmful information. Adult image recognition is one of the important works. In order to avoid the low recognizing accuracy of present algorithms, an adult image recognizing algorithm taking model´s breast as recognizing object is proposed and discussed in this paper. The algorithm uses fuzzy cluster method to segment candidate region according to common colors of breast feature. After getting the preliminary candidate region, the algorithm applies ¿ what¿ and ¿ where¿ way for information processing of visual system to compose integrated breast feature vector. The algorithm uses Forward Propagation neural network to judge whether the candidate region is a breast feature or not. Then the result of image recognition is gotten through the existence of breast. Experiments show that the developed recognizing algorithm can accurately confirm whether there are breast parts in images or not. Therefore, it can be applied in practical adult image recognizing system effectively.
Keywords :
feature extraction; fuzzy set theory; image colour analysis; image recognition; image segmentation; neural nets; object detection; Internet; adult image recognition; breast detecting algorithm; breast feature colors; candidate region segmentation; forward propagation neural network; fuzzy cluster method; integrated breast feature vector; object recognition; visual system information processing; Breast; Clustering algorithms; Computer vision; Humans; Image recognition; Image segmentation; Internet; Neural networks; Noise measurement; Skin; Information management; adult image recognition; breast feature; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
Type :
conf
DOI :
10.1109/ICIII.2009.542
Filename :
5370514
Link To Document :
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