All 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 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 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 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.

Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery (2003)
Presentation / Conference Contribution
Rochery, M., Jermyn, I., & Zerubia, J. (2003, October). Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery. Presented at 2nd IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision, ICCV, Nice

We present a novel method for the incorporation of shape information into active contour models, and apply it to the extraction of line networks (e.g. road, water) from satellite imagery. The method is based on a new class of contour energies. These... Read More about Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery.

Texture Analysis: An Adaptive Probabilistic Approach (2003)
Presentation / Conference Contribution
Brady, K., Jermyn, I., & Zerubia, J. (2003, September). Texture Analysis: An Adaptive Probabilistic Approach. Presented at IEEE International Conference on Image Processing (ICIP 2003), Barcelona, Spain

Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform analyses on the boundaries of textures. Herein, we tackle these problem... Read More about Texture Analysis: An Adaptive Probabilistic Approach.

Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images (2003)
Presentation / Conference Contribution
Brady, K., Jermyn, I., & Zerubia, J. (2003, September). Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images. Presented at British Machine Vision Conference (BMVC) 2003, Norwich

Remote sensing imagery plays an important role in many fields. It has become an invaluable tool for diverse applications ranging from cartography to ecosystem management. In many of the images processed in these types of applications, semantic entiti... Read More about Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images.

Gaussian Mixture Models of Texture and Colour for Image Database Retrieval (2003)
Presentation / Conference Contribution
Permuter, H., Francos, J., & Jermyn, I. (2003, April). Gaussian Mixture Models of Texture and Colour for Image Database Retrieval. Presented at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hong Kong, China

We introduce Gaussian mixture models of 'structure' and colour features in order to classify coloured textures in images, with a view to the retrieval of textured colour images from databases. Classifications are performed separately using structure... Read More about Gaussian Mixture Models of Texture and Colour for Image Database Retrieval.

Unsupervised Image Segmentation Via Markov Trees and Complex Wavelets (2002)
Presentation / Conference Contribution
Shaffrey, C., Kingsbury, N., & Jermyn, I. (2002, September). Unsupervised Image Segmentation Via Markov Trees and Complex Wavelets. Presented at IEEE International Conference on Image Processing (ICIP), Rochester

The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently content-based image retrieval (CBIR) has emerged as an application area in which retrieval is attempted by trying... Read More about Unsupervised Image Segmentation Via Markov Trees and Complex Wavelets.

Evaluation Methodologies for Image Retrieval Systems (2002)
Presentation / Conference Contribution
Jermyn, I., Shaffrey, C., & Kingsbury, N. (2002, September). Evaluation Methodologies for Image Retrieval Systems. Presented at Advanced Concepts for Intelligent Vision Systems, Ghent

Evaluation plays an important role in the advancement of any field. ˆ In computer vision, unsupervised segmentation algorithms, although of great interest, often suffer from lack of a well-defined goal and/or explicit ground truth data, thus renderin... Read More about Evaluation Methodologies for Image Retrieval Systems.

Psychovisual Evaluation of Image Segmentation Algorithms (2002)
Presentation / Conference Contribution
Shaffrey, C., Jermyn, I., & Kingsbury, N. (2002, September). Psychovisual Evaluation of Image Segmentation Algorithms. Presented at Advanced Concepts for Intelligent Vision Systems, Ghent, Belgium

Evaluation plays an important role in the advancement of any field. In computer vision, unsupervised segmentation algorithms, although of great interest, often suffer from lack of a well-defined goal and/or explicit ground truth data, thus rendering... Read More about Psychovisual Evaluation of Image Segmentation Algorithms.

Globally Optimal Regions and Boundaries as Minimum Ratio Cycles (2001)
Journal Article
Jermyn, I., & Ishikawa, H. (2001). Globally Optimal Regions and Boundaries as Minimum Ratio Cycles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1075-1088. https://doi.org/10.1109/34.954599

We describe a new form of energy functional for the modeling and identification of regions in images. The energy is defined on the space of boundaries in the image domain and can incorporate very general combinations of modeling information both from... Read More about Globally Optimal Regions and Boundaries as Minimum Ratio Cycles.

Region Extraction from Multiple Images (2001)
Presentation / Conference Contribution
Ishikawa, H., & Jermyn, I. (2001, July). Region Extraction from Multiple Images. Presented at Eighth IEEE International Conference on Computer Vision., Vancouver, Canada

We present a method for region identification in multiple images. A set of regions in different images and the correspondences on their boundaries can be thought of as a boundary in the multi-dimensional space formed by the product of the individual... Read More about Region Extraction from Multiple Images.

Judging whether multiple silhouettes can come from the same object (2001)
Presentation / Conference Contribution
Jacobs, D., Belhumeur, P., & Jermyn, I. (2001, May). Judging whether multiple silhouettes can come from the same object. Presented at 4th International Workshop on Visual Form, Capri, Italy

We consider the problem of recognizing an object from its silhouette. We focus on the case in which the camera translates, and rotates about a known axis parallel to the image, such as when a mobile robot explores an environment. In this case we pres... Read More about Judging whether multiple silhouettes can come from the same object.