From: Ashnil K. <as...@it...> - 2013-04-30 02:32:07
|
Hi Dushyant, The intent of these projects is to develop a method for creating queries and for analysing retrieved images using different feature priorities. In 'Interactive Image Query Formulation' we could create a tool, as an extension to Scaffold Hunter, that allows the user to apply different image processing algorithms to construct his query, e.g. segmentation to select different regions of interest, interactively building a graph-based query. In 'Image Visual Feature Selection', we wish to extend Scaffold Hunter to analyse the retrieved images based on different feature sets/graph structures that are interactively adjusted to best fit the user's intent. The idea behind both these projects is that we do not assume that there is a "best" feature set; instead, the query and features are user dependent. As such, an interaction method is necessary for analysis and feedback to the retrieval algorithm. We intend to use the LIDC data set (link below). You will be dealing with mainly 3D CT images. The feature set will be varied depending on the user but you can expect to deal with standard image features for describing texture, region of interest properties etc. We are also interested in extracting spatial relationships between regions of interest and representing these as graphs. Hope this helps. Regards, Ashnil |