Peter Rulić (Author), Iztok Kramberger (Author), Zdravko Kačič (Author)

Abstract

Edge detection plays an important role in image analysis systems. We present acolor selective edge detection technique, which consists of two image processing steps. The first step represents pixel-based color detection and the second progressive block-oriented edge detection. The combination of these two steps defines a selective edge detection technique, which enables fast and simple processing of those images captured using arbitrary cameras incomplex scenes with nonstandard illumination. The proposed method was implemented for the detecting of skin color objects and tested on real scene images.

Keywords

image analysis system;image processing;color detection;skin color;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 004.93
COBISS: 11574806 Link will open in a new window
ISSN: 0091-3286
Views: 1481
Downloads: 120
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
URN: URN:SI:UM:
Pages: str. 037004-1 - 037004-10
Volume: ǂVol. ǂ46
Issue: ǂiss. ǂ3
Chronology: Mar. 2007
ID: 8717387
Recommended works:
, magistrsko delo magistrskega študijskega programa II. stopnje Strojništvo