The production of self-organized porous anodic alumina (PAA) with large intepore intervals
(D c> 380 nm) is still under development. The PAA is very interesting for application in optics …

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 …

In multiple-point simulation the image should be synthesized consistent with the given
training image and hard conditioning data. Existing sequential simulation methods usually …

Herein is presented a methodology to quantify the degree of hexagonal order in nanoporous
alumina arrays (NAA). The approach is inspired by the theory of two-dimensional melting …

In this paper, a new modified quantitative method for order evaluation of porous AAO
(Anodic Aluminum Oxide) was proposed. Using this method, the regional order of structural …

The influence of heat treatment on the final arrangement of nanopores in fabrication of
ordered porous anodic alumina templates is investigated. The well-established two-step …

We propose a quantitative analysis method using cell segmentation to evaluate the coating
quality of anodic oxide. In order to identify each cell in a titania surface, a boundary region is …

Lattice characterization methods are normally used to quantify the effects of different
anodization conditions on hexagonal lattices like nanoporous anodized aluminum oxides …

This paper presents an improved discrete quantum particle swarm optimization (IDQPSO)
for 2-D maximum entropic multi-threshold image segmentation algorithm. Firstly, particle …

We segment an image of a porous structure by successively identifying individual grains,
using a process that requires no manual initialization. Adaptive thresholding is used to …