Title :
Fast Fourier Descriptor Method of the Shape Feature in Low Resolution Images
Author :
Ma Jie ; Zhang Zhiwei ; Tang Hongmei ; Zhao Quanming
Author_Institution :
Dept. of Inf. Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
One of main tasks in machine vision is able to provide understandable descriptions of objects. A method described here is based on fast Fourier descriptors, which initially incorporated with classic image processing operation can describe shape information in feature space. Fourier descriptor based on chain code and Fourier Transform method is discussed and related invariant property is derived. Experimental results verify good performance of fast Fourier descriptors for shape recognition applications.
Keywords :
computer vision; fast Fourier transforms; feature extraction; image recognition; image resolution; Fourier transform; chain code; fast Fourier descriptor method; feature space; image processing; low resolution image; machine vision; shape recognition; Classification algorithms; Discrete Fourier transforms; Fast Fourier transforms; Machine vision; Pattern recognition; Shape;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5601317
