Prolonged inspection of uniformly moving contours affects differentially the luminance threshold for the detection of test contours as a function of the direction of motion of the test contours. This finding supports a new explanation of the well-known aftereffect.

By combining double-count and line-transect sampling data we obtained estimates of animal and group densities. The sample design consists of flying aerial surveys along elevational contours with two observers in the same platform searching the same region on one side of the airplane. Detected distances are not grouped, and factors such as size and activity of the group, and the extent of the ho...

In a Least Developed Country (LDC) like Bangladesh where the textile is the main core of the economy, there is a major drawback in this sector which is the defect detection of the fabric. In the manual fault detection system with highly trained inspectors, very less percentage of the defects is being detected in upon fabrics in the textile industries. But a real time automatic system can increa...

Detection of bone contours in x-ray images is an important step in the computer analysis of medical images. Analog X-ray images are characterized by low contrast ratio value and high variability of their optical properties. Therefore classical segmentation algorithms based on homogeneity criteria are not applicable. In this paper we propose an approach for automatic bone contours detection whic...

Many applications in biomedical imaging have a demand on automatic detection of lines, contours, or boundaries of bones, organs, vessels, and cells. Aim is to support expert decisions in interactive applications or to include it as part of a processing pipeline for automatic image analysis. Biomedical images often suffer from noisy data and fuzzy edges. Therefore, there is a need for robust met...

In this paper, Artificial Neural Network, one of the Artificial Intelligence (AI) techniques, for the Volt / Var control in power distribution systems with dispersed generation (DG) is proposed. Artificial neural networks have been considered due to their ability for real time control, simpler calculations and adaptability to different operating conditions. Neuro-controllers are much more effec...

The detection of lines is an important low-level operation in computer vision that has many applications. Most of the existing line detectors do not take into account the width of the lines to be detected. In this paper, a novel multi-scale approach to curvilinear features detection with high contour accuracy is presented. A line detector at different orientations is applied to a multi-scale de...

BACKGROUND Dendritic cells (DC) linking innate and adaptive immune responses are present in human lungs, but the characterization of different subsets and their role in COPD pathogenesis remain to be elucidated. The aim of this study is to characterize and quantify pulmonary myeloid DC subsets in small airways of current and ex-smokers with or without COPD. METHODS Myeloid DC were characteriz...

This note describes the software, performing tracking in the detector at the International ee Linear Collider (ILC). The code is designed specifically for the Large Detector Concept (LDC). It is implemented within the framework of Marlin and uses LCIO as the data format. Results of initial performance studies are presented for the tracking system of the LDC detector. The note is based on the ta...