SOME EXPERIMENTS ON VARIABLE THRESHOLDING

被引：131

作者：

NAKAGAWA, Y ^{[1
]}

ROSENFELD, A ^{[1
]}

机构：

[1] UNIV MARYLAND,CTR COMP SCI,COLLEGE PK,MD 20742

来源：

PATTERN RECOGNITION | 1979年 / 11卷 / 03期

关键词：

Adaptive quantization; Bimodality; Histograms; Image processing; Industrial automation; Machine parts; Segmentation; Thresholding; Trimodality;

D O I：

10.1016/0031-3203(79)90006-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Chow and Kaneko proposed a method of variable thresholding in which an image is divided into windows; thresholds are selected for those windows that have bimodal histograms; and these thresholds are interpolated to define a variable threshold for the entire image. This method was applied to several TV images of machine parts; the results obtained appeared to be considerably better than the results of thresholding at a fixed level. An extension of the method was defined that allowed histograms to be either bimodal or trimodal; this yielded some further improvement in the results, but was also more sensitive to shadows. Finally, an adaptive quantization scheme, based on histogram peak sharpening, was applied to two of the images; the results do not seem to be as good as those obtained using variable thresholding. © 1979.

引用

页码：191 / 204

页数：14