The Hough Transform (HT) is a useful technique in image segmentation, concretely for geometrical primitive detection. A Convolution-Based Recursive Method (CBRM) is presented for function evaluation. In this generic approach, calculations are carried out by an unique parametric formula which provides all function points by successive iterations. The case of combined trigonometric functions invo...

Watermarking technique is popular of the solution to copyright protection. Good detection method can improve the probability of the successful detection. In this paper, a novel blind detection method pointing to the multiplicative embedding rule is proposed. Whether the watermark is present in the received image or not is determined by the correlation between the transform coefficients with the...

Robust image hashing methods require the robustness to content preserving processing and geometric transform. Zernike moment is a local image feature descriptor whose magnitude components are rotationally invariant and most suitable for image hashing application. In this paper, we proposed Geometric invariant robust image hashing via zernike momment. Normalized zernike moments of an image are u...

The method of evolutionary programming is used to search for the optimal solution in fuzzy clustering of images and in fuzzy boundary detection. In fuzzy evolutionary clustering, the Gibb's probability distribution is employed to model the evolution of object clusters, and the total fuzzy distance is used as a measurement of fitness. In image boundary detection, both geometrical shape and arbit...

In this paper we propose a novel method for human face segmentation using the elliptical structure of the human head. It makes use of the information present in the edge map of the image. In this approach we use the fact that the eigenvalues of covariance matrix represent the elliptical structure. The large and small eigenvalues of covariance matrix are associated with major and minor axial len...

This paper presents an efficient method for the estimation and recovering from nonlinear or local geometrical distortions, such as the random bending attack and restricted projective transforms. The distortions are modeled as a set of local affine transforms, the watermark being repeatedly allocated into small blocks in order to ensure its locality. The estimation of the affine transform parame...

Abstract. This paper presents a basic skill of imitation learning from observation towards developmental cognitive robotics which aims at providing a new way to understand the cognitive process of human beings by realizing artificial systems based on the internal observer’s viewpoint. Unlike the conventional ones, the proposed method does not assume the global coordinate system in order to tran...

As an extension of the authors' previous report of Ref 1, we describe an improved version of dispersive white-light interferometry that enables us to measure the tomographical thickness profile of a thin-film layer through Fourier-transform analysis of spectrally-resolved interference signals. The group refractive index can also be determined without prior knowledge of the geometrical thickness...

This paper introduces orthogonal bandlet bases to approximate images having some geometrical regularity. These bandlet bases are computed by applying parameterized Alpert transform operators over an orthogonal wavelet basis. These bandletization operators depend upon a multiscale geometric flow that is adapted to the image, at each wavelet scale. This bandlet construction has a hierarchical str...

We present CHILS , the Convex Hull Inductive Learning System, a novel supervised learning algorithm based on approximating concepts with sets of convex hulls. We introduce a theoretical methodology for describing the power of a concept representation language and use it to compare convex hulls with other geometrical concept representations. The Domain Transform framework (DT) provides a clear w...