Title :
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
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;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269230
