A novel two stage image recognition method

Author

Liu, Zhuofu ; Liao, Zhenpeng ; Sang, Enfang

Author_Institution

Inst. of Eng. Mech., China Earthquake Adm., Harbin, China

fYear

2005

fDate

27 June-3 July 2005

Abstract

In this paper, a novel algorithm for image recognition, consisting of two stages: coarse recognition and fine recognition, is presented. For coarse recognition, a new gray-spatial histogram is proposed, which incorporates spatial information with gray-scale compositions without sacrificing the robustness of traditional gray histograms. For fine recognition, a new wavelet set, called directional wavelets, is obtained from the exponential wavelet family. And then an approach to directional wavelet transform-based recognition using feature weighting is proposed. The weighted directional wavelet coefficients represent the directionality and multi-scale characteristics of images. The combination of coarse and fine recognition steps reduces the computational cost without degrading the classifying accuracy. In the end, the recognition experiment of underwater acoustic images has been done and the result is satisfactory, which verifies the effect of this method.

Keywords

feature extraction; image classification; image recognition; image texture; underwater sound; wavelet transforms; directional wavelet transform; exponential wavelet family; feature weighting; gray-spatial histogram; image recognition; texture analysis; underwater acoustic image; wavelet set; weighted directional wavelet coefficient; Acoustical engineering; Earthquake engineering; Gray-scale; Histograms; Image analysis; Image recognition; Image segmentation; Image texture analysis; Underwater acoustics; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2005 IEEE International Conference on

Print_ISBN

0-7803-9303-1

Type

conf

DOI

10.1109/ICIA.2005.1635131

Filename

1635131