Proceedings ArticleDOI
A comparative study of Fourier descriptors and Hu's seven moment invariants for image recognition
Qing Chen,Emil M. Petriu,Xiaoli Yang +2 more
- Vol. 1, pp 103-106
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TLDR
Hu et al. as mentioned in this paper evaluated and compared the performance of Fourier descriptors and Hu's seven moment invariants for recognizing images with different spatial resolutions, including scale change, translation and rotation.Abstract:
The paper evaluates and compares the performance of Fourier descriptors and Hu's seven moment invariants for recognizing images with different spatial resolutions. Both Fourier descriptors and Hu's seven moment invariants have the preferred invariance property against image transformations, including scale change, translation and rotation. However, spatial resolution thresholds exist for both of them. In our experiment with the image recognition engine, for Fourier descriptors, with feature vectors composed by the first 10 elements of the series, the spatial resolution should not be less than 64/spl times/64 to achieve 100% recognition. For Hu's seven moment invariants, the minimum spatial resolution is 128/spl times/128.read more
Citations
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Proceedings ArticleDOI
Analysis of Hu's moment invariants on image scaling and rotation
Zhihu Huang,Jinsong Leng +1 more
TL;DR: An analysis with respect to the variation of moment invariants on image geometric transformation is presented, so as to analyze the effect of image's scaling and rotation.
Journal ArticleDOI
Image analysis by discrete orthogonal Racah moments
TL;DR: A new set of discrete orthogonal moments is proposed, based on the discrete Racah polynomials, which eliminate the need for numerical approximations and demonstrate Racah moments' feature representation capability by means of image reconstruction and compression.
Journal ArticleDOI
Image analysis by discrete orthogonal dual Hahn moments
TL;DR: The proposed dual Hahn moments perform better than the Legendre moments, Tchebichef moments, and Krawtchouk moments in terms of image reconstruction capability in both noise-free and noisy conditions.
Journal ArticleDOI
Automatic surface defect detection for mobile phone screen glass based on machine vision
Chuanxia Jian,Jian Gao,Yinhui Ao +2 more
TL;DR: An improved fuzzy c-means cluster (IFCM) algorithm is developed, and the proposed algorithms are validated using a number of experimental tests on MPSG images, showing that it has better performance than other methods.
Book ChapterDOI
Image analysis by discrete orthogonal hahn moments
TL;DR: A new set of discrete orthogonal polynomials, namely Hahn polynmials, are introduced and the related Hahn moment functions defined on this orthosomatic basis set are investigated and applied to image reconstruction.
References
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Journal ArticleDOI
Visual pattern recognition by moment invariants
TL;DR: It is shown that recognition of geometrical patterns and alphabetical characters independently of position, size and orientation can be accomplished and it is indicated that generalization is possible to include invariance with parallel projection.
Journal ArticleDOI
Invariant image recognition by Zernike moments
Alireza Khotanzad,Y.H. Hong +1 more
TL;DR: A systematic reconstruction-based method for deciding the highest-order ZERNike moments required in a classification problem is developed and the superiority of Zernike moment features over regular moments and moment invariants was experimentally verified.
Journal ArticleDOI
On image analysis by the methods of moments
C.-H. Teh,Roland T. Chin +1 more
TL;DR: Various types of moments have been used to recognize image patterns in a number of applications and some fundamental questions are addressed, such as image-representation ability, noise sensitivity, and information redundancy.
Journal ArticleDOI
Three-dimensional shape analysis using moments and Fourier descriptors
TL;DR: A procedure for using moment-based feature vectors to identify a three-dimensional object from a two-dimensional image recorded at an arbitrary viewing angle and range is presented and a moment form called standard moments is considered, rather than the usual moment invariants.
Book
Recognizing Planar Objects Using Invariant Image Features
TL;DR: Translation, rotation, scale and contrast invariants, algebraic and projective invariant, and recognition of partially occluded objects are summarized.