Title :
A new shape descriptor for object recognition
Author :
Xue, Misheng ; Xu, Licheng ; Zhou, Gang
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this paper ,a new shape descriptor for object recognition which is invariant to translation ,rotation,scale and mirror mapping is proposed. According to the results obtained by a edge detector , the distance between the edge points and the centroid of the object is calculated, and a series of standardization are cited by which the new shape descriptor was established. The experiment demostrated that the new method achieves a significant performance comparing to the Fourier descriptor and moment invariants.
Keywords :
Fourier transforms; edge detection; object recognition; shape recognition; Fourier descriptor; edge detector; mirror mapping; object centroid; object recognition; shape descriptor; standardization; Bones; Educational institutions; Image edge detection; Information theory; Object recognition; Shape; Transform coding; Fourier descriptor; Invariant shape descriptor; moment invariants; object recognition;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057080
