Outputs (84)

Phase field models and higher-order active contours (2005)
Presentation / Conference Contribution
Rochery, M., Jermyn, I., & Zerubia, J. (2005, October). Phase field models and higher-order active contours. Presented at IEEE International Conference on Computer Vision (ICCV), Beijing, China

The representation and modelling of regions is an important topic in computer vision. In this paper, we represent a region via a level set of a 'phase field' function. The function is not constrained, e.g. to be a distance function; nevertheless, pha... Read More about Phase field models and higher-order active contours.

Texture-adaptive mother wavelet selection for texture analysis (2005)
Presentation / Conference Contribution
Abhayaratne, G., Jermyn, I., & Zerubia, J. (2005, September). Texture-adaptive mother wavelet selection for texture analysis. Presented at IEEE International Conference on Image Processing (ICIP), Genova, Italy

Classification results obtained using wavelet-based texture analysis techniques vary with the choice of mother wavelet used in the methodology. We discuss the use of mother wavelet filters as parameters in a probabilistic approach to texture analysis... Read More about Texture-adaptive mother wavelet selection for texture analysis.

New higher-order active contour energies for network extraction (2005)
Presentation / Conference Contribution
Rochery, M., Jermyn, I., & Zerubia, J. (2005, September). New higher-order active contour energies for network extraction. Presented at IEEE International Conference on Image Processing (ICIP), Genoa, Italy

Using the framework of higher-order active contours, we present a new quadratic continuation energy for the extraction of line networks (e.g. road, hydrographic, vascular) in the presence of occlusions. Occlusions create gaps in the data that frequen... Read More about New higher-order active contour energies for network extraction.

Invariant Bayesian Estimation on Manifolds (2005)
Journal Article
Jermyn, I. (2005). Invariant Bayesian Estimation on Manifolds. Annals of Statistics, 33(2), 583-605. https://doi.org/10.1214/009053604000001273

A frequent and well-founded criticism of the maximum a posteriori (MAP) and minimum mean squared error (MMSE) estimates of a continuous parameter γ taking values in a differentiable manifold Γ is that they are not invariant to arbitrary “reparameteri... Read More about Invariant Bayesian Estimation on Manifolds.

Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory (2005)
Presentation / Conference Contribution
Cossu, R., Jermyn, I., & Zerubia, J. (2023, January). Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory. Presented at 4th International Conference on Physics in Signal and Image Processing, Toulouse, France

In recent work, it was noted that although the subband histograms for standard wavelet coefcients take on a generalized Gaussian form, this is no longer true for wavelet packet bases adapted to a given texture. Instead, three types of subband statist... Read More about Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory.

Gap Closure in (Road) Networks Using Higher-Order Active Contours (2004)
Presentation / Conference Contribution
Rochery, M., Jermyn, I., & Zerubia, J. (2004, October). Gap Closure in (Road) Networks Using Higher-Order Active Contours. Presented at IEEE International Conference on Image Processing (ICIP), Singapore

We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need to he closed. Using higher-order active contours, which allow the incorporation of sophisti... Read More about Gap Closure in (Road) Networks Using Higher-Order Active Contours.

Texture Analysis Using Adaptive Biorthogonal Wavelet Packets (2004)
Presentation / Conference Contribution
Abhayaratne, G., Jermyn, I., & Zentbia, J. (2004, October). Texture Analysis Using Adaptive Biorthogonal Wavelet Packets. Presented at 2004 IEEE International Conference on Image Processing (ICIP), Singapore

We discuss the use of adaptive biorthogonal wavelet packet bases in a probabilistic approach to texture analysis, thus combining the advantages of biorthogonal wavelets (FIR, linear phase) with those of a coherent texture model. The computation of th... Read More about Texture Analysis Using Adaptive Biorthogonal Wavelet Packets.

Texture Discrimination Using Multimodal Wavelet Packet Subbands (2004)
Presentation / Conference Contribution
Cossu, R., Jermyn, I., & Zerubia, J. (2004, October). Texture Discrimination Using Multimodal Wavelet Packet Subbands. Presented at 2004 IEEE International Conference on Image Processing (ICIP), Singapore

The subband histograms of wavelet packet bases adapted to individual texture classes often fail to display the leptokurtotic behaviour shown by the standard wavelet coefficients of 1natural' images. While many subband histograms remain leptokurtotic... Read More about Texture Discrimination Using Multimodal Wavelet Packet Subbands.

Texture Analysis Using Probabilistic Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients (2004)
Presentation / Conference Contribution
Cossu, R., Jermyn, I., & Zerubia, J. (2004, May). Texture Analysis Using Probabilistic Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients. Presented at 2004 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Montreal, Canada

Although subband histograms of the wavelet coefficients of natural images possess a characteristic leptokurtotic form, this is no longer true for wavelet packet bases adapted to a given texture. Instead, three types of subband statistics are observed... Read More about Texture Analysis Using Probabilistic Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients.

Wavelet-Based Superresolution in Astronomy (2003)
Presentation / Conference Contribution
Willett, R., Jermyn, I., Nowak, R., & Zerubia, J. (2003, October). Wavelet-Based Superresolution in Astronomy. Presented at Astronomical Data Analysis Software and Systems (ADASS XIII), Strasbourg

High-resolution astronomical images can be reconstructed from several blurred and noisy low-resolution images using a computational process known as superresolution reconstruction. Superresolution reconstruction is closely related to image deconvolut... Read More about Wavelet-Based Superresolution in Astronomy.