DocumentCode :
270128
Title :
Shape features based conic arcs for leaf recognition
Author :
Avci, Tolga ; Kökdemir, Gürsel ; Kurt, Z. ; Özkan, Kemal
Author_Institution :
Elektrik-Elektron., Eskisehir Osmangazi Uni, Eskişehir, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
1463
Lastpage :
1466
Abstract :
The most widely used in the field of visual object recognition descriptive features are shape based features. Identify objects in the image, contour and region shape descriptors based on two main topics to be examined. In order to describe objects with lesser number of descriptors, linear or cubic curves are fitted to the contours of the objects. The end points of these finite length curves are usually meaningful spots on the contours, where these fittings are needed for the start and end points. Curves are fitted to the sub-contours between successive such descriptive points on the object contour. After fitting conic arcs according to the type of the cone defining an object in the image feature vector is obtained. Thus the object is depicted with fitted to the contour of the conic arcs and the line pieces.
Keywords :
object recognition; shape recognition; contour descriptors; finite length curves; image feature vector; leaf recognition; region shape descriptors; shape features based conic arcs; visual object recognition; Conferences; Fitting; Image segmentation; Pattern recognition; Shape; Signal processing; Vectors; conic arcs; contour; feature vector; meaningful point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830516
Filename :
6830516
Link To Document :
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