The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

For the purposes of object or defect identification required in industrial vision applications,
the operations of mathematical morphology are more useful than the convolution operations …

Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …

Over the last years, fractal and multifractal geometries were applied extensively in many
medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

Fractal dimension is an interesting feature proposed to characterize roughness and self-
similarity in a picture. This feature has been used in texture segmentation and classification …

This paper deals with the problem of recognizing and segmenting textures in images. For
this purpose the authors employ a technique based on the fractal dimension (FD) and the …

Fractal dimension (FD) is a useful feature for texture segmentation, shape classification, and
graphic analysis in many fields. The box-counting approach is one of the frequently used …

Fractal geometry is receiving increased attention as a model for natural phenomena. In this
paper we first present a new method for estimating the fractal dimension from image …

We present a multiresolution simultaneous autoregressive (MR-SAR) model for texture
classification and segmentation. First, a multivariate rotation-invariant SAR (RISAR) model is …