Object detection in multi-channel and multi-scale images based on the structural tensor

被引:0
|
作者
Cyganek, B [1 ]
机构
[1] AGH Univ Sci & Technol, PL-30059 Krakow, Poland
关键词
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
The paper presents theory and practical aspects of the detectors of characteristic objects in multi-channel images. It is based on the scale-space version of the structural tensor, adapted to operate on multi-channel signals. The method allows for object detection in Nx2D signal space with additional respect to the scale-space. Responses of the structural tensor are composed in a linear weighted sum that allows for better signal discrimination. In such a unified tensor framework different feature detectors were defined for detection of lines, corners, lines in the Hough space, structural places, etc. Although the presented method was developed for road sing recognition is can be also used for detection of other regular shapes. The sought objects are defined by a syntactical description of building line segments and their connection type. The paper presents also experimental results and implementation details.
引用
收藏
页码:570 / 578
页数:9
相关论文
共 50 条
  • [1] Visual saliency detection based on multi-scale and multi-channel mean
    Sun, Lang
    Tang, Yan
    Zhang, Hong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 75 (01) : 667 - 684
  • [2] Visual saliency detection based on multi-scale and multi-channel mean
    Lang Sun
    Yan Tang
    Hong Zhang
    Multimedia Tools and Applications, 2016, 75 : 667 - 684
  • [3] UNSUPERVISED SCALE-SPACE TEXTURE DETECTOR IN MULTI-CHANNEL IMAGES BASED ON THE STRUCTURAL TENSOR
    Cyganek, Bogusiaw
    COMPUTER VISION AND GRAPHICS (ICCVG 2004), 2006, 32 : 413 - 419
  • [4] Tensor based structure estimation in multi-channel images
    Schou, J
    Dierking, W
    Skriver, H
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 663 - 665
  • [5] A Traffic Anomaly Detection Method based on Multi-scale Decomposition and Multi-Channel Detector
    Xiang, Yu
    Ran, Jinye
    Huang, Lisheng
    Yang, Chao
    Wang, Wenyong
    2019 ACM/IEEE SYMPOSIUM ON ARCHITECTURES FOR NETWORKING AND COMMUNICATIONS SYSTEMS (ANCS), 2019,
  • [6] Multi-scale structural kernel representation for object detection
    Wang, Hao
    Wang, Qilong
    Li, Peihua
    Zuo, Wangmeng
    PATTERN RECOGNITION, 2021, 110
  • [7] Multi-Attention Object Detection Model in Remote Sensing Images Based on Multi-Scale
    Ying, Xiang
    Wang, Qiang
    Li, Xuewei
    Yu, Mei
    Jiang, Han
    Gao, Jie
    Liu, Zhiqiang
    Yu, Ruiguo
    IEEE ACCESS, 2019, 7 : 94508 - 94519
  • [8] A multi-channel anomaly detection method with feature selection and multi-scale analysis
    Huang, Lisheng
    Ran, Jinye
    Wang, Wenyong
    Yang, Tan
    Xiang, Yu
    COMPUTER NETWORKS, 2021, 185
  • [9] Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN
    Todoroki, Yoshihiro
    Iwamoto, Yutaro
    Lin, Lanfen
    Hu, Hongjie
    Chen, Yen-Wei
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 872 - 875
  • [10] Object Detection based on Multi-Channel Deep CNN
    Zhao, Bo
    Zhu, Lin
    Ma, Zhiyang
    Ni, Juyan
    Lin, Qing
    Liu, Qian
    2018 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2018, : 164 - 168