Threshold Evaluation Techniques.
Abstract
Threshold selection techniques have been used as a basic tool in image segmentation, but little work has been done on the problem of evaluating a threshold of an image. This paper addresses the problem of threshold evaluation and proposes two methods for measuring the goodness of a thresholded image, one based on a busyness criterion and the other based on a discrepancy or error criterion. These evaluation techniques are applied to both synthetic and real images and are shown to be useful in facilitating threshold selection. In fact, both methods usually result in similar or identical thresholds which yield good segmentations of the images. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1977
- Accession Number
- ADA043410
Entities
People
- Joan S. Weszka
Organizations
- University of Maryland