Identifying visual cues to enable searching 3D images2016 Advanced Light Source User Meeting Workshop, 4-5 Oct. 2016, B15, Rm 300 Organizers: Dula Parkinson, Daniela Ushizima, Center for Advanced Mathematics for Energy Research Applications (CAMERA) Abstract: Many experiments generate images with a large number of visual cues. These can be interpreted by clever and experienced science domain experts, but not by most automated image analysis pipelines. Changes in the instrument or in sample condition all lead to corresponding visual features in the images. How can we automate identification of patterns to separate the signal from the noise, the discovery from the artifact?
CLICK HERE to sign up for "office hours", to be held in Building 6, Room 2244
Tuesday | 14:00 | Dula Parkinson, LBNL | Welcome | | 14:05 | Dani Ushizima, LBNL | CAMERA, computer vision and scientific images | | 14:35 | Chao Yang, LBNL | Neuromorphic image processing | | 15:05 | Break | | | 15:25 | Stella Yu, UCB | Affinity CNN: Learning Pixel-Centric Pairwise Relations for Image Segmentation | | 15:55 | Daniel Pelt, LBNL | Optimizing tomographic reconstruction for specific analysis tasks | | 16:25 | Stefan van del Walt, UCB | "Python, Scikit-image, and new tools for image analysis" | | 16:55 | End |
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Wednesday | 10:00 | Andrew McElrone, UCD | | | 10:30 | Paulo Monteiro, UCB | A multi-scale approach to image cracks, microcracks, and nanoporosity in cementitious material | | 11:00 | Natalie Larson, UCSB/ALS | Title: Feature recognition in X-ray tomography data of Ceramic Matrix Composites | | 11:30 | Marco Voltolini, LBNL | "When thresholding does not work: the separation of objects by their morphology. Case studies with cement, volcanic rocks, and seal rocks". | | 12:00 | lunch | | | 13:30 | "office hours" | Participants can schedule time to meet with the speakers to discuss problems and solutions and possible collaborations. |
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