| This paper presents an overview of feature extraction methods for oo-line recognition of segmented (isolated) characters. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Diierent feature extraction methods are designed for diierent… (More)
Absfracf-Several methods for segmentation of document images are explored. We pose the segmentation operation as a statistical classification task with two pattern classes: print and background. A number of classification strategies are available. All require some prior information about the distribution of gray levels for the two classes. Training (either… (More)
In this paper, White and Rohrer's \Integrated Function Algorithm" (1983) for binarization of gray level document images is improved. This is achieved by smoothing, a new print pixel identiication strategy, and a postprocessing step removing false print objects.
Multipass dynamic MRI and pharmacokinetic modeling are used to estimate perfusion parameters of leaky capillaries. Curve fitting and nonblind deconvolution are the established methods to derive the perfusion estimates from the observed arterial input function (AIF) and tissue tracer concentration function. These nonblind methods are sensitive to errors in… (More)
The authors demonstrate an improved differentiation of the most common tissue types in the human brain and surrounding structures by quantitative validation using multispectral analysis of magnetic resonance images. This is made possible by a combination of a special training technique and an increase in the number of magnetic resonance channel images with… (More)