DocumentCode :
253424
Title :
Edge detection in discretized range images
Author :
Kovacs, Viktor ; Tevesz, Gabor
Author_Institution :
Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol., Budapest, Hungary
fYear :
2014
fDate :
19-21 Nov. 2014
Firstpage :
203
Lastpage :
208
Abstract :
In this paper we show a method for edge detection in discretized range images. Heavy quantization results in low number of layers present in range images. These values suffer from systematic error and must not be treated as random additive noise. In our method we utilize morphologic operations for noise noise reduction and skeleton extraction for each layer. Based on the extracted features such as layer skeletons we present an algorithm to identify and classify edges in range images. We present edge detection results of simulated and captured real range images.
Keywords :
edge detection; feature extraction; image denoising; measurement errors; random processes; discretized range images; edge classification; edge detection; feature extraction; morphologic operations; noise reduction; random additive noise; skeleton extraction; systematic error; Estimation; Feature extraction; Image edge detection; Image segmentation; Quantization (signal); Sensors; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/CINTI.2014.7028676
Filename :
7028676
Link To Document :
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