Research lectures, seminars and events
The events listed in this area are research seminars, workshops and lectures hosted by Durham University departments and research institutes. If you are not a member of the University, but wish to enquire about attending one of the events please contact the organiser or host department.
|April 2018||June 2018|
Events for 23 May 2018
Dr Roberto Rosas Romero: Automatic image segmentation based on processing and classification of image patches
This talk presents the problem of segmenting images within sequences by processing and classifying feature vectors from image patches. The approach for assigning a region to an image patch is based on the processing of patch features so that discrimination among regions is enhanced. Image patch classification is conducted following two directions. One direction consists in learning redundant dictionaries for sparse representation of feature vectors, extracted from image patches, so that an image patch is assigned to the region for which the corresponding dictionary gives the best sparse representation. A second direction consists in the training of learning machines for separation of different objects from background. We have tested these methodologies on: (1) video signals from surveillance cameras, (2) high-definition green-screen images from the public data set provided by Hollywood Camera Work LLC, (3) sequences of 2-D short-axis echocardiographic images, (4) fundus images from public data sets DiaretDB1 and Retinopathy Online Challenge competition. Fully-automatic segmentation based on classification of image patches has been applied to the problem of (1) segmenting the endocardium in 2-D short-axis echocardiographic images from rats, (2) remote detection of forest fires in video signals from surveillance cameras, (3) separation of foreground objects from green-screen backgrounds as well as the generation of the corresponding alpha matte map required for subsequent digital compositing, and (4) micro-aneurism detection on fundus images as a tool to assist in the diagnosis of diabetic retinopathy. Theory, results, challenges and performance related to image segmentation are presented.
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Abstract: This lecture will provide a survey of the state of the art in the theory of hyperbolic conservation laws emphasizing both recent achievements and future challenges.
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