Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …

Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

This paper describes the sequence of construction of a cell nuclei classification model by the
analysis, the characterization and the classification of shape and texture. We describe first …

Feature Extraction for Image Processing and Computer Vision is an essential guide to the
implementation of image processing and computer vision techniques, with tutorial …

With an increasing emphasis on security, automated personal identification based on
biometrics has been receiving extensive attention over the past decade. Iris recognition, as …

In this paper, we propose a novel approach to compute rotation-invariant features from
histograms of local noninvariant patterns. We apply this approach to both static and dynamic …

In this paper, we propose Local Binary Pattern Histogram Fourier features (LBP-HF), a novel
rotation invariant image descriptor computed from discrete Fourier transforms of local binary …

Accumulating evidence suggests that characteristics of pre-treatment FDG–PET could be
used as prognostic factors to predict outcomes in different cancer sites. Current risk analyses …