𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A method of recognition of blurred-edge objects

✍ Scribed by A.M. Bekker; N.I. Bukhtoyarova; B.G. Turukhano

Publisher
Elsevier Science
Year
1981
Tongue
English
Weight
281 KB
Volume
39
Category
Article
ISSN
0030-4018

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Perception of High-Contrast Blurred Edge
Perception of High-Contrast Blurred Edges
✍ I. Sanz; M.L. Calvo; M. Chevalier; V. Lakshminarayanan πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 181 KB

Observer sensitivity to edge blur has been examined by experimental measurements of threshold blur as a function of contrast. An extension of previous results from Watt and Morgan for high-contrast blur edges is discussed and analyzed. We propose a psychophysical test based on a two-alternative forc

Estimation of perceived image blur using
Estimation of perceived image blur using edge features
✍ Vishwakumara Kayargadde; Jean-Bernard Martens πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 704 KB

Sharpness (or its complement, perceived blur or unsharpness) is an important attribute of image quality, and the spread of the physical blurring kernel is the predominant parameter determining that attribute. In this article we present an algorithm to estimate an objective measure for sharpness, cal

Comparison of Edge Detector Performance
Comparison of Edge Detector Performance through Use in an Object Recognition Task
✍ Min C Shin; Dmitry B Goldgof; Kevin W Bowyer πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 561 KB

This paper presents an empirical evaluation methodology for edge detectors. Edge detector performance is measured using a particular edge-based object recognition algorithm as a "higher-level" task. A detector's performance is ranked according to the object recognition performance that it generates.