Homocentric Polar-Radius Moment for Shape Classification

机译：同心极半径矩用于形状分类

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The description of the object shape is an important subject in the area of image processing and pattern recognition. In this paper, a new approach to contour recognition is proposed. This approach is based on the homocentric polar-radius moment to extract feature vectors of boundaries. Firstly, the definition of homocentric polar-radius moment is introduced. Secondly, the invariance properties of translation, rotation and scaling are proved. In the classification experiments, the recognition results show that our method is more robust and precise than improved moment invariants.

机译：对象形状的描述是图像处理和模式识别领域中的重要主题。本文提出了一种轮廓识别的新方法。该方法基于同心极半径半径矩来提取边界的特征向量。首先介绍了同心极半径矩的定义。其次，证明了平移，旋转和缩放的不变性。在分类实验中，识别结果表明我们的方法比改进的矩不变性更健壮和精确。

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来源
《International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN)》|2006年|P.1851-1854|共4页
会议地点 Guilin(CN)
作者
Kai Jin; Maoyong Cao; Shanshan Kong; Ying Lu;
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College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, 266510, P. R. China;

College of Natural Resources and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266510, P.;

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正文语种 eng
中图分类通信理论;
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2. Efficient Shape Classification using Zernike Moments and Geometrical Features on MPEG-7 Dataset [J] . ABBAS S, FARHAN S, FAHIEM M. A, Advances in Electrical and Computer Engineering . 2019,第1期

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3. Phase-field modeling of gamma '-precipitate shapes in nickel-base superalloys and their classification by moment invariants [J] . Holzinger Markus, Schleifer Felix, Glatzel Uwe, The European physical journal, B. Condensed matter physics . 2019,第9期

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4. 3D Polar-Radius Invariant Moments and Structure Moment Invariants [C] . Zongmin Li, Yuanzhen Zhang, Kunpeng Hou, International Conference on Advances in Natural Computation(ICNC 2005); 20050827-29; Changsha(CN) . 2005

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6. Swimming motion of rod-shaped magnetotactic bacteria: the effects of shape and growing magnetic moment [O] . Dali Kong, Wei Lin, Yongxin Pan, 2014

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7. GGM-Net: Graph Geometric Moments Convolution Neural Network for Point Cloud Shape Classification [O] . Dilong Li, Xin Shen, Yongtao Yu, 2020

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8. A CLASSIFICATION OF MODEL PREDICTIONS ON ASYMPTOTIC BEHAVIOUR OF MULTIPLICITY MOMENTS [R] . S. Berceanu 1975

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Homocentric Polar-Radius Moment for Shape Classification

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