Anisotropic Spectral Manifold Wavelet Descriptor

2020 ◽  
Author(s):  
Qinsong Li ◽  
Ling Hu ◽  
Shengjun Liu ◽  
Dangfu Yang ◽  
Xinru Liu
Keyword(s):  
Wavelet Descriptor

Periodic wavelet descriptor of plant leaf and its application in botany

2015 ◽  
Vol 13 (06) ◽  
pp. 1550043 ◽  
Author(s):  
Qing-Mao Zeng ◽  
Tong-Lin Zhu ◽  
Xue-Ying Zhuang ◽  
Ming-Xuan Zheng
Keyword(s):  
Species Identification ◽  
Plant Species ◽  
Shape Descriptor ◽  
Plant Leaf ◽  
Practical Applications ◽  
Wide Range ◽  
Periodic Wavelet ◽  
Plant Species Identification ◽  
Botanical Research ◽  
Wavelet Descriptor

Leaf is one of the most important organs of plant. Leaf contour or outline, usually a closed curve, is a fundamental morphological feature of leaf in botanical research. In this paper, a novel shape descriptor based on periodic wavelet series and leaf contour is presented, which we name as Periodic Wavelet Descriptor (PWD). The PWD of a leaf actually expresses the leaf contour in a vector form. Consequently, the PWD of a leaf has a wide range in practical applications, such as leaf modeling, plant species identification and classification, etc. In this work, the plant species identification and the leaf contour reconstruction, as two practical applications, are discussed to elaborate how to employ the PWD of a plant leaf in botanical research.

THE NORMALIZED WAVELET DESCRIPTOR FOR SHAPE RETRIEVAL

2008 ◽  
Vol 06 (01) ◽  
pp. 25-36 ◽  
Author(s):  
KIMCHENG KITH ◽  
BAREND J. VAN WYK ◽  
MICHAËL A. VAN WYK
Keyword(s):  
Image Analysis ◽  
Image Retrieval ◽  
Shape Descriptor ◽  
Scale Space ◽  
Experimental Results ◽  
Shape Retrieval ◽  
Fourier Descriptor ◽  
Curvature Scale Space ◽  
Wavelet Descriptor

In many image analysis applications, such as image retrieval, the shape of an object is of primary importance. In this paper, a new shape descriptor, namely the Normalized Wavelet Descriptor (NWD), which is a generalization and extension of the Wavelet Descriptor (WD), is introduced. The NWD is compared to the Fourier Descriptor (FD), which in image retrieval experiments conducted by Zhang and Lu, outperformed even the Curvature Scale Space Descriptor (CSSD). Image retrieval experiments have been conducted using a dataset containing 2D-contours of 1400 objects extracted from the standard MPEG7 database. For the chosen dataset, our experimental results show that the NWD outperforms the FD.

Flaw Classification by Using Artificial Neural Network and Wavelet

2004 ◽  
Author(s):  
Lingqi Li ◽  
Wei Cheng ◽  
Kazuhiko Tsukada ◽  
Koichi Hanasaki
Keyword(s):  
Neural Network ◽  
Signal To Noise Ratio ◽  
Principal Component ◽  
Contour Representation ◽  
Third Stage ◽  
Feature Extractor ◽  
Flaw Classification ◽  
Artificial Neural ◽  
Wavelet Descriptor ◽  
Flaw Shape

This paper presents a methodology to 2-D flaw-shape recognition by combining a neural network and the wavelet feature extractor. This approach consists of three stages. First, the 2-D pattern of an object is retrieved from image and then transformed to complex contour, which is described by the coordinates of its shape. Then, feature extraction is performed to this contour representation. Fourier descriptor (FD), principal component analysis (PCA) and wavelet descriptor (WD) are employed in this stage, and their performances are compared and discussed. In the third stage, artificial neural networks, including two different types of multi-layer perceptron (MLP) and Kohonen self-organizing network, are used as the classifier based on the feature sets extracted in the second stage. The numerical experiments performed on the recognition of simulated shapes demonstrate the superiority of the WD feature extractor (both used for MLP and Kohonen network classifiers) to the other two: PCA and FD, especially when the raw data have poor signal-to-noise ratio (SNR). The application to the real ultrasonic C-scan image flaw-shape classification shows the effectiveness of the proposed approach to the field of PVP.

Using the periodic wavelet descriptor of plant leaf to identify plant species

2015 ◽  
Vol 76 (17) ◽  
pp. 17873-17890 ◽  
Author(s):  
Qingmao Zeng ◽  
Tonglin Zhu ◽  
Xueying Zhuang ◽  
Mingxuan Zheng ◽  
Yubin Guo
Keyword(s):  
Plant Species ◽  
Plant Leaf ◽  
Periodic Wavelet ◽  
Wavelet Descriptor

Contour metamorphosis using the wavelet descriptor

1994 ◽  
Author(s):  
Chun-Hsiung Chuang ◽  
C.-C. Jay Kuo
Keyword(s):  
Wavelet Descriptor
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