Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

The adaptive integration of the colour and texture attributes in the development of complex
image descriptors is one of the most investigated topics of research in computer vision. The …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

We present a universal statistical model for texture images in the context of an overcomplete
complex wavelet transform. The model is parameterized by a set of statistics computed on …

Wavelet-based statistical signal processing techniques such as denoising and detection
typically model the wavelet coefficients as independent or jointly Gaussian. These models …

We propose an approach to include contextual features for labeling images, in which each
pixel is assigned to one of a finite set of labels. The features are incorporated into a …

Wavelet methods have become a widely spread tool in signal and image process ing tasks.
This book deals with statistical applications, especially wavelet based smoothing. The …

We consider large margin estimation in a broad range of prediction models where inference
involves solving combinatorial optimization problems, for example, weighted graph-cuts or …

Markov models represent a wide and general family of stochastic models for the temporal
and spatial dependence properties associated to 1-D and multidimensional random …

With the growing research on image segmentation, it has become important to categorise
the research outcomes and provide readers with an overview of the existing segmentation …