Title :
Image object recognition based on Radon transform
Author :
Zhang, Jun ; Zhou, Xiyuan ; Mao, Erke
Author_Institution :
Dept. of E.E., Beijing Inst. of Technol., China
Abstract :
The processing of image object of visual sensor is a key issue in robot intelligent control. A new method for object recognition based on Radon transform is proposed. On the basis of image preprocessing, the algorithm for extracting the shape features of image object at different angles based on Radon Transform (RT) is given. To increase the efficiency of the algorithm, two feature sets have been formed. One is coarse feature set that is formed to measure the similarity between the template object and image object and then the template and image are aligned. Another is fine feature set that is formed to realize the object recognition by feature matching. The results of some tests show that the new method is robust to the translation, rotation and scale of image object.
Keywords :
Radon transforms; feature extraction; image matching; intelligent control; object recognition; robots; Radon Transform; feature matching; image object processing; image object recognition; robot intelligent control; shape feature extraction; visual sensor; Feature extraction; Image sensors; Intelligent control; Intelligent robots; Intelligent sensors; Object recognition; Robot sensing systems; Robustness; Shape; Testing;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342266
