Textural features extraction for image integrity verification
International Journal of Electronic Security and Digital Forensics
Texture Segmentation by Contractive Decomposition and Planar Grouping
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Andrews' curve and texture ellipsoid for the detection of pneumonia using chest X-ray
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
A graphical method of detecting pneumonia using chest radiograph
WSEAS Transactions on Information Science and Applications
Query by example using invariant features from the double dyadic dual-tree complex wavelet transform
Proceedings of the ACM International Conference on Image and Video Retrieval
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In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm. The proposed technique is tested on a range of textured images including composite texture images, synthetic texture images, real scene images as well as our main source of images, the museum images of various kinds. An extension to the automatic texture segmentation, a texture identifier is also introduced for integration into a retrieval system, providing an excellent approach to content-based image retrieval using texture features.