Highly precise segmentation of texture images is a technique which is indispensable in image understanding and image recognition. This paper proposes a method which represents the features of the texture image by using the wavelet transform, the nonlinear transformation, and a Gaussian filter, which are used in time-frequency analysis. A highly precise segmentation procedure for texture images is presented in which a feature suited to segmentation is selected from among a number of features. The usefulness of the proposed method is demonstrated through experiments using artificial data, and a result for a natural image is presented as an application to a real problem.
|Number of pages||9|
|Journal||Electronics and Communications in Japan, Part II: Electronics (English translation of Denshi Tsushin Gakkai Ronbunshi)|
|Publication status||Published - 2005 Sep 1|
- Wavelet transform feature selection
ASJC Scopus subject areas
- Electrical and Electronic Engineering