Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion
FREE-DOWNLOADM Rahman – Computerized Medical Imaging and Graphics, 2008 – We present a content-based image retrieval framework for diverse collections of medical images of different modalities, anatomical regions, acquisition views, and biological systems. For the image representation, the probabilistic output from multi-class support vector machines
Ontology of gaps in content-based image retrieval
FREE-DOWNLOADTM Deserno, S Antani… – Journal of Digital Imaging, 2009 Content-based image retrieval (CBIR) is a promising tech- nology to enrich the core functionality of picture archiving and communication systems (PACS). CBIR has a poten- tial for making a strong impact in diagnostics, research, and education. Research as reported in the
Fuzzy color and texture histogram-a low level feature for accurate image retrieval
FREE-DOWNLOAD SA Chatzichristofis… – Ninth International Workshop on …, 2008 This paper deals with the extraction of a new low level feature that combines, in one histogram, color and texture information. This feature is named FCTH – Fuzzy Color and Texture Histogram – and results from the combination of 3 fuzzy systems. FCTH size is […]