Parallel algorithm for gray-scale image segmentation

被引:2
|
作者
Cohen, HA
机构
关键词
parallelizable algorithm; segmentation; morphology; distance transforms;
D O I
10.1109/ANZIIS.1996.573919
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One of the classic algorithms of mathematical morphology is the image segmentation algorithm of Rosenfeld-Pfaltz. This algorithm in its ''sequential'' form, seeks to mark with a common label all connected pixels in an image, where the connectivity actually used in practice is 4-connectivity or 8-connectivity. The sequential Rosenfeld-Pfaltz algorithm (RS Algorithm) algorithm was presented for binary images; Cohen has previously presented a one-pass modification to the RS algorithm, and extended the algorithm to gray-scale. The RS algorithm is not simple to parallelise in principle, as pixels in a connected subregion may be connected only via a chain of connected pixels in several other sub-regions. We present here a parallelisable algorithm for segmenting into regions images of multiple gray-scale, based on the one-pass algorithm.
引用
收藏
页码:143 / 146
页数:4
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