A Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle
(UAV) can map the overflown environment in point clouds. Mapped canopy heights allow for …

Novel approaches to bio‐imaging and automated computational image processing allow the
design of truly quantitative studies in developmental biology. Cell behavior, cell fate …

Taking and analyzing images of materials' microstructures is essential for quality control,
choice and design of all kind of products. Today, the standard method still is to analyze 2D …

Vehicle overloading is a very common phenomenon. The overloaded vehicles not only
cause severe damage to the road/bridge and shorten its service life, but also likely lead to …

Publisher Summary This chapter presents an account of logarithmic image processing (LIP)
theoretical and practical aspects focusing on transmitted image settings. The power of LIP …

In conifers growing at high latitudes and altitudes, the maximum density of tree rings is
closely related to climate but is difficult and very expensive to measure. Here we compare …

Ant colony algorithm (ACA), inspired by the food-searching behavior of ants, is an
evolutionary algorithm and performs well in discrete optimization. In this paper, it is used for …

This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogram-based color images at multiple levels of Berkley Segmentation …

Most vehicle license plate recognition use neural network techniques to enhance its
computing capability. The image of the vehicle license plate is captured and processed to …

Entropy-based thresholding techniques are quite popular and effective for image
segmentation. Among different entropy-based techniques, minimum cross-entropy …