Congratulations to Dimitris Fotiadis for successfully passing his PhD viva
Wednesday 25 March 2009
Congratulations to Dimitris Fotiadis for successfully defending his PhD thesis on Tuesday 24th March. Dimitris’ thesis is titled: "Novel Shape Representation Structures for Object Recognition, Retrieval, and Plant Taxonomic Identification Purposes". The examiners were Dr David Chesmore (University of York) and Dr Lilian Tang. Dimitris was supervised by Dr Jonathan Clark.
This thesis introduces the novel concepts of Intermedian Curve Sets (IMCS) and Intercentroidal Curve Sets (ICCS). They were used as means for the foundation of an IMCS/ICCS based shape analysis framework, comprised of IMCS/ICCS shape representation structures, a novel feature extraction and object alignment system, and probabilistic multiple classifier strategies. The proposed model was tested according to the MPEG-7 Core Experiment CE-Shape-1 Part B standards to evaluate both its retrieval and classification accuracy. Given a qualitatively produced dataset consisting of digital images illustrating distinctive leaves of the tree genus Tilia, several versions of the proposed and other competitive shape analysis approaches were applied to automatically extract complete sets of morphological/shape features. The aim was to successfully perform plant taxonomic identification. Extensive comparative studies proved that the proposed IMCS/ICCS based shape analysis framework is both efficient and promising, as it outperformed other published shape analysis schemes, performing up to 75.8% correct identification and almost 84.6% correct retrieval, for the datasets examined.