Thresholding Based on Maximum Weighted Object Correlation for Rail Defect Detection

Weighted Opposition-Based Fuzzy Thresholding

Object Detection based Weighted-Center Surround Difference

Intelligent traffic surveillance technology is an issue in the field of traffic data analysis. Therefore, we need the technology to detect moving objects in real-time while there are variations in background and natural light. In this paper, we proposed a Weighted-Center Surround Difference method for object detection in outdoor environments. The proposed system detects objects using the salien...

A 3D Laser Profiling System for Rail Surface Defect Detection

Rail surface defects such as the abrasion, scratch and peeling often cause damages to the train wheels and rail bearings. An efficient and accurate detection of rail defects is of vital importance for the safety of railway transportation. In the past few decades, automatic rail defect detection has been studied; however, most developed methods use optic-imaging techniques to collect the rail su...

Thresholding for weighted χ

Given data from a spherical Gaussian distribution with unknown mean vector θ, estimates of quadratic functionals are constructed by thresholding. Mean squared error bounds are derived via a comparison with those already available for a suitable noncentral χ variate. By way of illustration, the resulting inequalities are used to yield an optimal rate adaptivity result for estimation of integrate...

Robust Object Detection and Segmentation Based on Radial Reach Correlation

We propose a novel algorithm for robust object detection and segmentation, which is based on a new robust dissimilarity measure called as Radial Reach Correlation (RRC). The capability of detecting new objects from a complex background is one of the most (,I. r ~ t r e n 2 :%qe (D c-~rren: scerle (c) RRC imaqe important technologie for many vision systems. The usual approach for detecting new o...