A Segmentation Scheme Based on a Multi-graph Representation: Application to Colour Cadastral Maps

被引:0
|
作者
Raveaux, Romain
Burie, Jean-Christophe
Ogier, Jean-Marc
机构
来源
GRAPHICS RECOGNITION: RECENT ADVANCES AND NEW OPPORTUNITIES | 2008年 / 5046卷
关键词
Colour Segmentation; Colour Space; Graphics Recognition; Document Understanding;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a colour segmentation process is proposed. The novelty relies on an efficient way to introduce a priori knowledge to isolate pertinent re-ions. Basically. from a pixel classification stage a Suitable colour model is set up. A hybrid colour space is built by choosing meaningful components from several standard colour representations. Thereafter, a segmentation algorithm is performed. The region extraction is executed by a vectorial gradient dealing with hybrid colour space. From this point, a merging mechanism is carried Out. It is based on a multi-graphs data structure where each graph represents a different point of view of the region layout. Hence. merging decisions can be taken considering graph information and according to a set of applicative rules. The whole system is assessed oil ancient cadastral maps and experiments tend to reveal a reliable behaviour in term of Information retrieval.
引用
收藏
页码:202 / 212
页数:11
相关论文
共 50 条
  • [41] DeepGCN based on variable multi-graph and multimodal data for ASD diagnosis
    Liu, Shuaiqi
    Wang, Siqi
    Sun, Chaolei
    Li, Bing
    Wang, Shuihua
    Li, Fei
    CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2024, 9 (04) : 879 - 893
  • [42] Dynamic evolution of multi-graph based collaborative filtering for recommendation systems
    Tang, Hao
    Zhao, Guoshuai
    Bu, Xuxiao
    Qian, Xueming
    KNOWLEDGE-BASED SYSTEMS, 2021, 228
  • [43] Dynamic evolution of multi-graph based collaborative filtering for recommendation systems
    Tang, Hao
    Zhao, Guoshuai
    Bu, Xuxiao
    Qian, Xueming
    Knowledge-Based Systems, 2021, 228
  • [44] Linear composition of service based on directed cyclic weighted multi-graph
    Fu, Z.-Y. (zhaoyangfu@gmail.com), 1600, University of Science and Technology (36):
  • [45] INTELLIGENT MODELLING METHOD OF ENERGY HUB BASED ON DIRECTED MULTI-GRAPH
    Cai, Qingsen
    Luo, Xingqi
    Gao, Chunyang
    Zhao, Peiyu
    Wang, Peng
    THERMAL SCIENCE, 2022, 26 (01): : 681 - 691
  • [46] Multi-Graph Based Semi-Supervised Learning for Activity Recognition
    Stikic, Maja
    Larlus, Diane
    Schiele, Bernt
    2009 INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS, PROCEEDINGS, 2009, : 85 - 92
  • [47] A Deepfake Image Detection Method Based on a Multi-Graph Attention Network
    Chen, Guorong
    Du, Chongling
    Yu, Yuan
    Hu, Hong
    Duan, Hongjun
    Zhu, Huazheng
    ELECTRONICS, 2025, 14 (03):
  • [48] CaFGraph: Context-aware Facial Multi-graph Representation for Facial Action Unit Recognition
    Chen, Yingjie
    Chen, Diqi
    Wang, Yizhou
    Wang, Tao
    Liang, Yun
    PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021, 2021, : 1029 - 1037
  • [49] Multi-graph representation spatio-temporal attention networks for traffic forecasting in the cinematic metaverse
    Li, Ke
    He, Xiaoming
    Liu, Yinqiu
    Chen, Meng
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2024, 35 (07):
  • [50] MERGE: A Multi-graph Attentive Representation learning framework integrating Group information from similar patients
    An, Ying
    Li, Runze
    Chen, Xianlai
    COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 151