A novel fuzzy approach for shape determination of traffic signs
Document identifier: oai:dalea.du.se:1582
Keyword: Traffic signs,
Fuzzy rules,
Color segmentation,
Out door imagesPublication year: 2005Abstract: In this paper, a novel fuzzy approach is developed to determine the shape of traffic signs. More than 1600 images of traffic signs were collected in different light conditions by a digital camera mounted in a car and used for testing this approach. Every RGB image was converted into HSV colour space, and segmented by using a set of fuzzy rules depending on the hue and saturation values of each pixel in the HSV colour space. The fuzzy rules are used to extract the colours of the road signs. Objects in each segmented image are labelled and tested for the presence of probable sign. All small objects under certain threshold are discarded, and the remaining objects are tested by a fuzzy shape recognizer which invokes another set of fuzzy rules. Four shape measures are used to decide the shape of the sign; rectangularity, triangularity, ellipticity, and the new shape measure octagonality.
Authors
Hasan Fleyeh
Högskolan Dalarna; Datateknik
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header:
identifier: oai:dalea.du.se:1582
datestamp: 2021-04-15T12:08:43Z
setSpec: SwePub-du
metadata:
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version: 3.7
recordInfo:
recordContentSource: du
recordCreationDate: 2005-11-29
identifier: http://urn.kb.se/resolve?urn=urn:nbn:se:du-1582
titleInfo:
@attributes:
lang: eng
title: A novel fuzzy approach for shape determination of traffic signs
abstract: In this paper a novel fuzzy approach is developed to determine the shape of traffic signs. More than 1600 images of traffic signs were collected in different light conditions by a digital camera mounted in a car and used for testing this approach. Every RGB image was converted into HSV colour space and segmented by using a set of fuzzy rules depending on the hue and saturation values of each pixel in the HSV colour space. The fuzzy rules are used to extract the colours of the road signs. Objects in each segmented image are labelled and tested for the presence of probable sign. All small objects under certain threshold are discarded and the remaining objects are tested by a fuzzy shape recognizer which invokes another set of fuzzy rules. Four shape measures are used to decide the shape of the sign; rectangularity triangularity ellipticity and the new shape measure octagonality.
subject:
@attributes:
lang: eng
topic: Traffic signs
@attributes:
lang: eng
topic: Fuzzy rules
@attributes:
lang: eng
topic: Color segmentation
@attributes:
lang: eng
topic: out door images
language:
languageTerm: eng
genre:
conference/other
ref
note:
Published
1
name:
@attributes:
type: personal
authority: du
namePart:
Fleyeh
Hasan
role:
roleTerm: aut
affiliation:
Högskolan Dalarna
Datateknik
nameIdentifier:
hfl
0000-0002-1429-2345
originInfo:
dateIssued: 2005
place:
placeTerm: Pune India
relatedItem:
@attributes:
type: host
titleInfo:
title: Second Indian International Conference on Arificial Intelligence
physicalDescription:
form: print
typeOfResource: text