In this paper, an unsupervised image segmentation technique is presented, which combines
pyramidal image segmentation with the fuzzy c-means clustering algorithm. Each layer of …

A novel fuzzy C-mean (FCM) algorithm is proposed for use when active or structured light
patterns are projected onto a scene. The underlying inhomogeneous illumination intensity …

This paper explains the task of segmenting any given colour image using fuzzy clustering
algorithms and competitive neural network. The fuzzy clustering algorithms used are Fuzzy …

Gabor filtering is a widely applied approach for texture analysis. This technique shows a
strong dependence on certain number of parameters. Unfortunately, each variation of values …

Machine vision is a desirable non-contact measurement method for hot forgings, as image
segmentation has been a challenging issue in performance and robustness resulting from …

Abstract Machine vision measurement is an ideal method for real-time non-contact
measurement of hot forgings, where image segmentation is the most important issue in …

In this paper, a generalized statistical tool is introduced to estimate key frames in a video
sequence. The tool works based on the inter-relationship between different features of …

The technologies for automated vehicle classification have been evolving over decades.
With rapidly growing affordable sensors such as closed‐circuit television (CCTV) cameras …

A novel technique for three-dimensional depth recovery based on two coaxial defocused
images of an object with added pattern illumination is presented. The approach integrates …

This paper investigates local reconstruction techniques for extracting region-of-interest (ROI)
from a 3-D terahertz imaging setup using a quantum cascade laser (QCL). The advantage of …