… This paper proposes a novel wavelet frame packet analysis approach for multivariable image
segmentation. The approach effectively combines both the texture and color information. It …

… Texture classification and segmentation using wavelet frames[J]. IEEE Transactions on …
Texture segmentation with wavelet transform and feature weighting[J]. Journal of Image and …

… then the Mallat-pyramid algorithm for periodic tight wavelet frame decomposition and …
wavelet frame by periodizing the tight wavelet frame with bound 1 in is a tight wavelet frame with …

… as well as to reduce the error rate in texture im? age segmentation,a novel approach
based on wavelet?transform and using feature weighting is proposed in this paper. This new …

… are adopted as a fused feature for texture classification. Experiments on homogeneous,
inhomogeneous images and total Brodatz texture alblum prove that the complex feature of …

… Abstract:This paper presents an unsupervised segmentation method based on the feature
decomposition used for extracting residential areas in high resolution remote sensing image.…

… To classify the scaled and rotated texture images correctly, this paper proposes a new algorithm
for texture classification … We firstly use the Radon transform to convert the image rotation …

… wavelet analysis is a reasonably complicated mathematical discipline, at least for most
biomedical engineers, and consequently a detailed analysis … to emphasize the wavelet properties …

… After the image was decomposed by wavelet transform, SVM is used to extract the texture
characteristics of text from the low2frequency vague image sub2space and high2frequency …

… -resolution of wavelet ensures that we can use the forward wavelet transform to decompose
… by using the backward wavelet transform to separate defects from regular textured surfaces. …