In last three decades, fractal geometry (FG) has been the focus of attention by several
researchers owing to it exhibiting excellent properties and robust application with respect to …

Fractal dimension is extensively in use as features in computer vision applications to
characterize roughness and self-similarity of objects in an image for many years. These …

Color texture classification is an important step in image segmentation and recognition. The
color information is especially important in textures of natural scenes, such as leaves …

Prostate cancer (PCa) is currently diagnosed by microscopic evaluation of biopsy samples.
Since tissue assessment heavily relies on the pathologists level of expertise and …

Color texture classification has recently attracted significant attention due to its multiple
applications. The color texture images depend on the texture surface and its albedo, the …

Classification of histology images is a task that has been widely explored on recent
computer vision researches. The most studied approach for this task has been the …

Texture analysis methods have been used in various image processing applications, such
as segmentation, classification, and recognition, shape analysis. The performance of …

Colorectal cancer is one of the most common types of cancer according to worldwide
incidences statistics. The correct diagnosis of this lesion leads to the indication of the most …

How to identify influential nodes in complex networks is an important aspect in the study of
complex network. In this paper, a novel fuzzy local dimension (FLD) is proposed to rank the …

Fractal Dimension (FD) is a very useful feature in fractal geometry for analysis of digital
images. For estimating FD, several existing algorithms are,(i) box-counting,(ii) probability …