Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

A growing number of routine and research activities, in a wide variety of fields, have the
counting of certain types of objects (cells, people, insects, etc.) as one of their main …

The proposed research work designs a detector algorithm for automatic detection of
epileptic seizures. In this work a wavelet based feature extraction technique has been …

This paper proposes a fast method for car-license-plate detection (CLPD) and presents
three main contributions. The first contribution is that we propose a fast vertical edge …

In order to automate cervical cancer screening tests, one of the most important and
longstanding challenges is the segmentation of cell nuclei in the stained specimens. Though …

This paper presents a gait recognition method which combines spatio-temporal motion
characteristics, statistical and physical parameters (referred to as STM–SPP) of a human …

Japanese knotweed (Fallopia japonica) is listed among 100 of the World's worst invasive
alien species and poses an increasing threat to ecosystems and agriculture in Northern …

A new noise-robust edge detector is proposed, which combines a small-scaled isotropic
Gaussian kernel and large-scaled anisotropic Gaussian kernels (ANGKs) to obtain edge …

The performance of vision-based control systems, in particular, of highly dynamic vision-
based motion control systems, is often limited by the low sampling rate of the visual …

Site-specific weed management requires sensing of the actual weed infestation levels in
agricultural fields to adapt the management accordingly. However, sophisticated sensor …