SIOM OpenIR  > 强场激光物理国家重点实验室
Novel approach for region merging and image segmentation for human-computer interaction
Yuan, JH; Xu, ZZ; Li, SM; Zhang, YX; Yuan, JH, Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, POB 800-211, Shanghai 201800, Peoples R China
2003
Source PublicationOpt. Eng.
Volume42Issue:8Pages:2277
AbstractFor the purpose of human-computer interaction (HCI), a vision-based gesture segmentation approach is proposed. The technique essentially includes skin color detection and gesture segmentation. The skin color detection employs a skin-color artificial neural network (ANN). To merge and segment the region of interest, we propose a novel mountain algorithm. The details of the approach and experiment results are provided. The experimental segmentation accuracy is 96.25%. (C) 2003 Society of Photo-Optical Instrumentation Engineers.
SubtypeArticle
Indexed BySCI
Language英语
WOS IDWOS:000184656600019
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.siom.ac.cn/handle/181231/18059
Collection强场激光物理国家重点实验室
Corresponding AuthorYuan, JH, Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, POB 800-211, Shanghai 201800, Peoples R China
Affiliation1.Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Shanghai 201800, Peoples R China
2.Nankai Univ, Inst Modern Opt, Key Lab Optoelectron Informat Tech Sci, EMC, Tianjin 300071, Peoples R China
Recommended Citation
GB/T 7714
Yuan, JH,Xu, ZZ,Li, SM,et al. Novel approach for region merging and image segmentation for human-computer interaction[J]. Opt. Eng.,2003,42(8):2277.
APA Yuan, JH,Xu, ZZ,Li, SM,Zhang, YX,&Yuan, JH, Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, POB 800-211, Shanghai 201800, Peoples R China.(2003).Novel approach for region merging and image segmentation for human-computer interaction.Opt. Eng.,42(8),2277.
MLA Yuan, JH,et al."Novel approach for region merging and image segmentation for human-computer interaction".Opt. Eng. 42.8(2003):2277.
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