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

fYear

2009

fDate

18-20 Oct. 2009

Firstpage

477

Lastpage

481

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICBNMT.2009.5348519

Filename

5348519