A survey of thresholding techniques

نویسندگان

  • Prasanna K. Sahoo
  • S. Soltani
  • Andrew K. C. Wong
چکیده

In digital image processing, thresholding is a well-known technique for image segmentation. Because of its wide applicability to other areas of the digital image processing, quite a number of thresholding methods have been proposed over the years. In this paper, we present a survey of thresholding techniques and update the earlier survey work by Weszka (Comput. 3-16). We attempt to evaluate the performance of some automatic global thresholding methods using the criterion functions such as uniformity and shape measures. The evaluation is based on some real world images. 0 1988 Academic press, IX.

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عنوان ژورنال:
  • Computer Vision, Graphics, and Image Processing

دوره 41  شماره 

صفحات  -

تاریخ انتشار 1988