AN EFFICIENT THRESHOLD-EVALUATION ALGORITHM FOR IMAGE SEGMENTATION BASED ON SPATIAL GRAYLEVEL COOCCURRENCES

被引：15

作者：

LIE, WN ^{[1
]}

机构：

[1] NATL TSING HUA UNIV,INST ELECT ENGN,HSINCHU 30043,TAIWAN

来源：

SIGNAL PROCESSING | 1993年 / 33卷 / 01期

关键词：

IMAGE SEGMENTATION; GRAYLEVEL THRESHOLDING; COOCCURRENCE MATRIX;

D O I：

10.1016/0165-1684(93)90083-M

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The co-occurrence matrix approach, considering locally spatial variation of graylevels in image data, has demonstrated its application in image thresholding. Diverse measures based upon this type of matrices were proposed for selecting optimal thresholds by fully evaluating all possible values. We explore computational parallelism and present a modified computing procedure that is easily hardware-implemented and more efficient in both time and space complexities. Analysis shows that our algorithm is most promising for locally adaptive thresholding.

引用

页码：121 / 126

页数：6

共 10 条

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