一组基于广义局部沃尔什变换的纹理特征
A Group of Texture Features Based on Generalized Local Walsh Transform
-
摘要: 该文提出一组基于广义局部沃尔什变换(GLWT)的纹理特征。首先给出局部沃尔什变换(LWT)的定义,并在空域中对其加以推广,用以提取图像的局部纹理信息;然后在一个宏窗口中估计12个GLWT系数的二阶矩作为图像的纹理特征。对这组纹理特征的鉴别性能进行了分析,并与Haralick(1973),Wang Li(1990),以及Yu Hui提出的纹理特征进行了比较。实验结果表明,该文提出的纹理特征具有更好的鉴别性能和分类能力。Abstract: A new group of texture features based on Generalized Local Walsh Transform (GLWT) are presented in this paper. Firstly, Local Walsh Transform (LWT) is defined and generalized in spatial domain to extract local texture information. Then, the twelve 2nd order moments of GLWT coefficients are estimated in a macro-window and selected as texture features. The performance of these features in discriminating textures has been evaluated. The textural features from Haralick(1973), Wang Li(1990), Yu Hui has been used for comparison. The experimental results reveal that the texture features presented have the best discriminating performance.
-
Haralick R M, Shanmugam K, DinStein I. Texture features forimage classification. IEEE Tran,s. on Systems Man Cybernet,1973,SMC-3 (6): 610-621.[2]Wang Li, He Dongchen. Texture classification using texturespectrum[J].Pattern Recognition.1990, 23(5):905-910[3]He Dongchen, Wang Li. Texture features based on texturespectrum[J].Pattern Recognition.1991, 24(5):391-399[4]Zhou F, Feng J F, Shi Q Y. Image segmentation based on localFourier coefficientsMultispectral Imagehistogram.ProcessingProc. SPTF-2nd Tnt. Conf. onand Pattern Recognition, Wuhan,China, November, 2001: 143-152.[5] Yu Hui, Li Mingjing, Zhang Hongjiang, Feng Jufu. Color texturemoments for content based image retrieval. www.cs.iupui.edu/}tuceryan/research/ComputerVision/moment-paper.pdf.[6]孙即祥.数字图像处理[M].郑州:河南教育出版社,1993:99-105.[7]Simona E, Crigeorescu, Petkov Nicolai, Kruizinga Peter.Comparison of texture features based on Cabor filters[J].IEEbTrans. on Image Processing.2002, 11(10):1160-[8]孙即祥等.现代模式识别「M].长沙:国防科学技术大学出版社,2002: 31-36.
计量
- 文章访问数: 2559
- HTML全文浏览量: 102
- PDF下载量: 1151
- 被引次数: 0