This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual approaches. Our most interesting conclusion is that combining results provided by both methods using classical combination function allows to obtain higher retrieval accuracy in terms of MAP . MAP values than combinati...

This paper describes a new algorithm for visual control of an uncalibrated 3 DOF joint system, using two weakly calibrated fixed cameras. The algorithm estimates on-line the Image Jacobian, a matrix which linearly relates joint velocity and image feature velocity. In our experiments we prove that by using the fundamental matrix, robustness of the estimation in the presence of noise is significa...

We propose a novel method to re-order the list of images returned by an image retrieval system (IRS). The method combines the original order obtained by an IRS, the similarity between images obtained with textual features and a relevance feedback approach, all of them with the purpose of separating relevant from irrelevant images, and thus, obtaining a more appropriate order. Experiments were c...

Article history: Received 17 April 2008 Revised 19 August 2008 Accepted 21 August 2008 Communicated by Charles K. Chui This paper is devoted to the study of local scales (oscillations) in images and use the knowledge of local scales for image decompositions. Denote by Kt(x)= ( e−2πt|ξ |2 )∨ (x), t > 0, the Gaussian (heat) kernel. Motivated from the Triebel–Lizorkin function space Ḟα p,∞ , we de...

CBCT versus conventional CT Cone beam computed tomography (CBCT), which is also referred to as cone beam volumetric imaging (CBVI) and cone beam volumetric tomography (CBVT), is an extraoral radiographic method of producing three-dimensional digital radiographic information (Patel et al, 2009a; Patel, 2009; Miles, 2008; McNamara, Kapila, 2006; Horner, Drage, Brettle, 2008; Patel et al, 2007). I...

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Variational models with 1-norm based regularization, in particular total variation (TV) and its variants, have long been known to offer superior image restoration quality, but processing speed remained a bottleneck, preventing their widespread use in the practice of color image processing. In this paper, by extending the grayscale image deblurring algorithm proposed in [Y. Wang, J. Yang, W. Yin...