Title :
A reconfigurable hardware accelerator for moment computation
Author :
Hung, Donald L. ; Cheng, H.D. ; Sengkhamyong, Savang
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Richland, WA, USA
Abstract :
In image processing, moment-invariant is one of the most useful methods for feature extraction. However, real-time applications of this method have been prohibited due to the intensive computation required in calculating the moments of an image. This paper describes a hardware solution to this problem
Keywords :
application specific integrated circuits; digital signal processing chips; feature extraction; field programmable gate arrays; image classification; image processing; image processing equipment; real-time systems; reconfigurable architectures; DSP; FPGA; feature extraction; image moment computation; image processing; moment invariants method; real-time applications; reconfigurable hardware accelerator; Cameras; Computational complexity; Computer architecture; Computer science; Costs; Feature extraction; Hardware; Image processing; Pixel; Prototypes;
Conference_Titel :
ASIC Conference and Exhibit, 1997. Proceedings., Tenth Annual IEEE International
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-4283-6
DOI :
10.1109/ASIC.1997.617013
