DocumentCode :
2954788
Title :
Detection and recognition on parameters of object’s internal structure
Author :
Xu, Gang ; Meng, Xu
fYear :
2008
fDate :
1-8 June 2008
Firstpage :
543
Lastpage :
547
Abstract :
The detection of objects, the key technology in the field of image recognition, is the base of accuracy improvement of image recognition process. In this paper, a model is provided for detection and recognition of a objectpsilas internal structure. This model, which is based on Moment and Hough, combines geometric features as its parameter identification, and its evaluation criteria is matching percent and algorithm efficiency. The recognition, position and detection of graphicspsila internal structure can be completed effectively and accurately. In addition, good experimental results were obtained by using this algorithm, even though the objects were covered by each other or nested, which proves the model is applicable on practical application.
Keywords :
Hough transforms; image recognition; object detection; object recognition; Hough algorithm; Moment algorithm; image recognition process; object internal structure detection; object internal structure recognition; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2008.4633846
Filename :
4633846
Link To Document :
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