21 September 2001 New estimation of Hurst parameter for texture analysis
Author Affiliations +
Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441462
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
A new algorithm to estimate Hurst parameter is introduced in this work. A remote sensing texture is modeled as a fBm process. Since fBm is characterized by only one Hurst parameter, it is not flexible enough to model the short-term correlation structure. Therefore extended models were proposed to settle this problem. Noting that the track of the logarithm delta variances is certain, and the slopes k(s) of the piecewise lines characterize the specific texture, we use k(s)/2 to estimate the multiscale Hurst parameters of the digital image. Since the new features characterize the textures in a multi-scale way and meet with the characters of the natural processes, they perform better than the existing features based on fractal models and wavelet transforms.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Li, Yan Li, Jiaxiong Peng, Jiaxiong Peng, "New estimation of Hurst parameter for texture analysis", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441462; https://doi.org/10.1117/12.441462


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