The Application of Support Vector Machine Classification to Detect Cell Nuclei for Automated Microscopy
(2012)
Journal Article
Han, J., Breckon, T., Randell, D., & Landini, G. (2012). The Application of Support Vector Machine Classification to Detect Cell Nuclei for Automated Microscopy. Machine Vision and Applications, 23(1), 15-24. https://doi.org/10.1007/s00138-010-0275-y
Outputs (11)
Automatic Real-time Road Marking Recognition Using a Feature Driven Approach (2012)
Journal Article
Kheyrollahi, A., & Breckon, T. (2012). Automatic Real-time Road Marking Recognition Using a Feature Driven Approach. Machine Vision and Applications, 23(1), 123-133. https://doi.org/10.1007/s00138-010-0289-5
Correlating Histology and Spectroscopy to Differentiate Pathologies of the Colon (2012)
Presentation / Conference Contribution
Carey, D., Shepherd, N., Kendall, C., Stone, N., Breckon, T., & Lloyd, G. (2012, July). Correlating Histology and Spectroscopy to Differentiate Pathologies of the Colon. Presented at Proc. Conference on Medical Image Understanding and Analysis
On Cross-Spectral Stereo Matching using Dense Gradient Features (2012)
Presentation / Conference Contribution
Pinggera, P., Breckon, T., & Bischof, H. (2012, September). On Cross-Spectral Stereo Matching using Dense Gradient Features. Presented at Proc. British Machine Vision Conference
Consistency in Muti-modal Automated Target Detection using Temporally Filtered Reporting (2012)
Presentation / Conference Contribution
Breckon, T., Han, J., & Richardson, J. (2012, November). Consistency in Muti-modal Automated Target Detection using Temporally Filtered Reporting. Presented at Proc. SPIE Electro-Optical Remote Sensing, Photonic Technologies, and Applications VI
A 3D extension to cortex like mechanisms for 3D object class recognition (2012)
Presentation / Conference Contribution
Flitton, G., Breckon, T., & Megherbi, N. (2012, December). A 3D extension to cortex like mechanisms for 3D object class recognition. Presented at 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA
Fully Automatic 3D Threat Image Projection: Application to Densely Cluttered 3D Computed Tomography Baggage Images (2012)
Presentation / Conference Contribution
Megherbi, N., Breckon, T., Flitton, G., & Mouton, A. (2012, October). Fully Automatic 3D Threat Image Projection: Application to Densely Cluttered 3D Computed Tomography Baggage Images. Presented at Proc. International Conference on Image Processing Theory, Tools and Applications
A Novel Intensity Limiting Approach to Metal Artefact Reduction in 3D CT Baggage Imagery (2012)
Presentation / Conference Contribution
Mouton, A., Megherbi, N., Flitton, G., Bizot, S., & Breckon, T. (2012, September). A Novel Intensity Limiting Approach to Metal Artefact Reduction in 3D CT Baggage Imagery. Presented at Proc. International Conference on Image Processing
A Comparison of Classification Approaches for Threat Detection in CT based Baggage Screening (2012)
Presentation / Conference Contribution
Megherbi, N., Han, J., Flitton, G., & Breckon, T. (2012, September). A Comparison of Classification Approaches for Threat Detection in CT based Baggage Screening. Presented at Proc. International Conference on Image Processing
An Empirical Comparison of Real-time Dense Stereo Approaches for use in the Automotive Environment (2012)
Journal Article
Mroz, F., & Breckon, T. (2012). An Empirical Comparison of Real-time Dense Stereo Approaches for use in the Automotive Environment. EURASIP Journal on Image and Video Processing, 2012, Article 13. https://doi.org/10.1186/1687-5281-2012-13In this work we evaluate the use of several real-time dense stereo algorithms as a passive 3D sensing technology for potential use as part of a driver assistance system or autonomous vehicle guidance. A key limitation in prior work in this area is th... Read More about An Empirical Comparison of Real-time Dense Stereo Approaches for use in the Automotive Environment.