Segmentation of grey scale sampled images with bimodal source models

Author

Wood, Sally L. ; Jamali, Hamadi

Author_Institution

Canon Research Center America Inc., Palo Alto, CA, USA

fYear

1992

Firstpage

456

Abstract

A gray-level-sampled image of a bimodal source will have some deviations from a perfect bimodal distribution due to added source, partial volume effects, and slow variations in source intensity. If the high contrast source image is to be accurately estimated from the sampled image, the characteristics of the image acquisition system must be selected to preserve the required information. These characteristics include the related effects of spatial sampling frequency, number of bits per pixel, aperture functions, and measurement noise. A method for estimating the modes of the underlying bimodal distribution is presented, and the results are used in algorithms which recover a bimodal source description. Examples demonstrate these effects

Keywords

image segmentation; added source; aperture functions; bimodal source models; bits per pixel; gray-level-sampled image; image acquisition system; image segmentation; measurement noise; partial volume effects; slow source intensity variations; spatial sampling frequency; Additive noise; Apertures; Filtering; Frequency measurement; Image resolution; Image sampling; Image segmentation; Noise level; Noise measurement; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-3160-0

Type

conf

DOI

10.1109/ACSSC.1992.269230

Filename

269230