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Photometric stereo reconstruction for surface analysis of mucosal tissue (2014)
Presentation / Conference
Emrith, K., Slabaugh, G., Poullis, A. P., Goves, C., & Smith, M. (2014, July). Photometric stereo reconstruction for surface analysis of mucosal tissue. Paper presented at Medical Image Understanding and Analysis 2014, City University London

We introduce photometric stereo reconstruction for surface analysis of mucosal tissue. Photometric stereo captures images of a surface from a single camera, but illuminated from different light sources. From the set of images, a detailed surface rec... Read More about Photometric stereo reconstruction for surface analysis of mucosal tissue.

A novel photometric stereo imaging sensor for endoscopy imaging: Proof of concept studies on a porcine model (2014)
Journal Article
Poullis, A., Groves, C., Slabaugh, G., Emrith, K., & Smith, M. (2014). A novel photometric stereo imaging sensor for endoscopy imaging: Proof of concept studies on a porcine model. Gut, 63(S1), A46-A47. https://doi.org/10.1136/gutjnl-2014-307263.96

The American Society of Gastroenterology Endoscopy led Preservation and Incorporation of Valuable Endoscopy Innovations initiative has identified real time poly diagnosis as one of the next major technology driven changes in endoscopy (1). A number o... Read More about A novel photometric stereo imaging sensor for endoscopy imaging: Proof of concept studies on a porcine model.

Paper type classification based on a new 3D surface texture measure (2014)
Journal Article
Malekmohamadi, H., Emrith, K., Pollard, S., Adams, G., Smith, M., & Simske, S. (2014). Paper type classification based on a new 3D surface texture measure. Electronics Letters, 50(8), 596-598. https://doi.org/10.1049/el.2013.2687

A novel three-dimensional (3D) surface texture measure (3DSTM) is presented based on the micro-geometry of paper surfaces to classify different paper substrates. This is useful to automatically determine whether a document is printed on the correct p... Read More about Paper type classification based on a new 3D surface texture measure.