Khalid Zenkouar

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Research investigating the use of Legendre moments for pattern recognition has been performed in recent years. This field of research remains quite open. This paper proposes a new technique based on block-based reconstruction method (BBRM) using Legendre moments compared with the global reconstruction method (GRM). For alleviating the blocking artifact(More)
Discrete Tchebichef moments are widely used in the field of image processing application and pattern recognition. In this paper we propose a compact method of 3D Tchebichef moments computation. This new method based on Clenshaw’s recurrence formula and the symmetry property produces a drastic reduction in the complexity and computational time. The recursive(More)
In this paper, we present the design of a partial overlapping block using exact Legendre moment computation (POBRELM) for gray-level image reconstruction. We address and solve the problem of artifact caused by independent reconstruction of the block affecting the visual image quality. This new approach takes advantage of only partial information of the(More)
Discrete Tchebichef moments are wid ely used in the field of image processing application and pattern recognition. In this paper we propose a compact method of 3D Tchebichef moments computation. This new method based on Clenshaw’s recurrence formula and the symmetry property produces a drastic reduction in the complexity and computational time. The(More)
In this paper, we suggest a new technique for fast computation of Gegenbauer orthogonal moments for the reconstruction of 3D images/objects; A typical comparison of the proposed method with the conventional ZOA methods shows significant improvements in term of error reduction and image quality. Then we compare our new approach with an existing method using(More)
Three-Dimensional Hahn moments are performant tool in the domain of image processing applications and pattern classification. In this work, we propose a new method for computing the Three-Dimensional Hahn moments. This method is based on matrix multiplication and symmetry property to decrease the complexity and computational time for volumetric image(More)
Three-dimensional digital images are gaining more attention of image processing application and pattern classification. Discrete Tchebichef moments are usually used pattern classification in the field of image processing application and pattern classification. In this paper, we introduce three-dimensional translation and scale invariants of tree-dimensional(More)