Title :
Improved shape description using radon transform and application in phytoplankton identification
Author :
Lin, Kang ; Chenhui, Yang ; Yahui, Gao
Author_Institution :
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
Abstract :
An improved shape description using Radon transform is presented. As shown in the experiments for MPEG-7 shape database, the improved Radon composite features descriptor not only has rotation, scaling and translation invariance (RST), but also has better performance in image retrieval than Radon composite features (RCFs) and some well-known approaches such as Zernike moments and Gabor Filters. Phytoplankton is as one of important indication to the ocean ecosystem, the application of the improved Radon composite features in phytoplankton identification system is also shown in this paper.
Keywords :
Gabor filters; Zernike polynomials; ecology; feature extraction; geophysics computing; image classification; image retrieval; microorganisms; oceanographic techniques; remote sensing; Gabor Filters; MPEG-7 shape database; RCF; RST; Zernike moment; feature extraction; image classification; image retrieval method; ocean ecosystem; phytoplankton identification; phytoplankton shape description; radon composite feature; radon transform; rotation, scaling and translation invariance; shape image; Algae; Ecosystems; Image recognition; Image retrieval; Information retrieval; Information science; Oceans; Sea measurements; Shape measurement; Silicon compounds; Image retrieval; Invariance; Phytoplankton identification; Radon transform; Shape;
Conference_Titel :
Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4590-5
Electronic_ISBN :
978-1-4244-4591-2
DOI :
10.1109/ICBNMT.2009.5348519
