Invariant curvature-based Fourier shape descriptors

El-ghazal, A.; Basir, Otman; Belkasim, Saeid

doi:10.1016/j.jvcir.2012.01.011

Cited by 41 publications

(21 citation statements)

References 47 publications

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“…In shape based object recognition technique, Fourier transforms are widely used for description [46]. Hence, Fourier transform is applied on the proposed FPA signature to describe the feature vector of large size, which contains a good number of coefficients.…”

Section: A Design Of Systemmentioning

confidence: 99%

“…Zunic et al [45] computed the shape centredness and estimated the distance from the interior and contour points as descriptors, which involve additional mechanism of shape centredness and found to be invariant wrt translation, rotation and scaling transformations. Ghazal et al [46] combined the Fourier transform with the multiscale representation, where in the curvature scale image is constructed for each scale using the 2-D Fourier transform, which is found to involve more processing time. Eini et al [47] constructed the signature with the distance radii and the corresponding minimal rectangle for each contour point involves the feature vector constructed through the FD coefficients and is invariant to translation, scaling and rotation.…”

Section: Introductionmentioning

confidence: 99%

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Design of a Novel Shape Signature by Farthest Point Angle for Object Recognition

Mani¹,

Varma²,

D.M.³

et al. 2014

IJIGSP

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An overview of state of art in computerized object recognition techniques regarding digital images is revised. Advantages of shape based techniques are discussed. Importance of -Fourier Descriptor‖ (FD) for the shape based object representation is described. A survey for the available shape signature assignment methods with Fourier descriptors is presented. Details for the design of shape signature containing the crucial information of corners of the object are depicted. A novel shape signature is designed basing on the Farthest Point Angle (FPA) which corresponds to the contour point. FPA signature considers the computation of the angle between the line drawn from each contour point and the line drawn from the farthest corner point. Histogram for each 15o angle conceiving the information of the object is constructed. FPA signature is evaluated for three standard databases; viz., two in Kimia {K-99, K-216} and one in MPEG CE-1 Set B. The performance of the present FPA method estimated through recognition rate, time and degree of matching and is found to be higher.

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Section: A Design Of Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of a Novel Shape Signature by Farthest Point Angle for Object Recognition

Mani¹,

Varma²,

D.M.³

et al. 2014

IJIGSP

View full text Add to dashboard Cite

show abstract

“…Fourier transform is used in several fields such as image processing and filters, transformation, representation, etc. Historically, one of the most widely used shape description methods is Fourier descriptors (FD) [1], [2], [3], [4]. The discrete Fourier transform (DFT) is one of the most fundamental and important numerical algorithms which plays a central role in the image processing area, including image denoising [5], image feature extraction [6], and compressed sensing [7].…”

Section: Introductionmentioning

confidence: 99%

Towards an Improvement of Fourier Transform

Aznag¹,

Datsi²,

Oirrak³

et al. 2020

IJACSA

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With the development of information technology and the coming period of large data, the image signals play an increasingly more significant role in our life because of the phenomenal development of system correspondence innovation, and the comparing high proficiency image handling strategies are requested earnestly. The Fourier transform is an important image processing tool, which is used in a wide range of applications, such as image filtering, image analysis, image compression and image reconstruction. It 's the simplest among the other transformation method used in mathematics. The real time consumption is lesser due to this method. It has a vast use in image processing, particularly object 2D, 3D and other representation. This paper proposes a new Fourier transform which is called Non Uniform Fourier Transform (NUFT). The proposed descriptor takes into consideration the change of point index. Also, an application is made on 2D set of points and a real image. The main advantages of the proposed transform are invariance under change of index point and robustness to noise. Also, the extraction of invariant under rotation and affinity is immediate because the linearity is assured. The proposed descriptor is tested on MPEG 7 database and compared with the normal Fourier transform to shows its efficiency. The experimental results prove the effectiveness of the proposed descriptor.

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“…Embora as técnicas de reconhecimento de formas em imagens tenham avançado significativamente nosúltimos anos [23,24], o uso de algoritmos computacionais para a análise e interpretação de imagens ainda demanda aprimoramento técnico em muitasáreas. Isso deve-se ao fato de que os métodos computacionais devem obedecer diferentes condições para assegurar sua robustez, como por exemplo, a invariânciaà transformação geométrica do objeto (mudanças na escala, rotação, e obliquidade) [12,25]. Como regra, o desenvolvimento de novas técnicas prima sempre por obter bons resultados de identificação e classificação de padrões, usando o menor esforço computacional possível.…”

Section: Lista De Figurasunclassified

“…O descritor de curvaturaé uma curva associadaàs regiões côncavas e convexas do contorno do objeto [25]. Pontos de máximo e mínimo locais dessa curva correspondemàs mudanças de direção no contorno, a curvatura trata as coordenadas paramétricas C(t) = (x(u), y(u)), em uma curvatura k(t) queé definida em termos de derivada.…”

Section: Curvaturaunclassified

Estudo do espectro Laplaciano na categorização de imagens

Humari¹

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Invariant curvature-based Fourier shape descriptors

Cited by 41 publications

References 47 publications

Design of a Novel Shape Signature by Farthest Point Angle for Object Recognition

Design of a Novel Shape Signature by Farthest Point Angle for Object Recognition

Towards an Improvement of Fourier Transform

Estudo do espectro Laplaciano na categorização de imagens

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