Paper
27 August 1993 Edge-detection method using visual perception
Kacem Chehdi, Qing-Min Liao
Author Affiliations +
Abstract
Edge detection is one of the most important stages in a chain of pattern recognition by vision. Many studies have been devoted to the problems of edge detection, however, a large number of difficulties remain (thick edge, sensitivity to noise, important calculation time and memory space). In this paper we present an optimization of an edge detection method using oriented gradients by introducing the notion of visual perception to validate or reject the edge points. This notion has been modelized from the different visual appreciations of several simulated images.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kacem Chehdi and Qing-Min Liao "Edge-detection method using visual perception", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150959
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KEYWORDS
Visualization

Edge detection

Image segmentation

Visual information processing

Image filtering

Optical filters

Visibility

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