Directional line detectors in correlated noisy environments
نویسندگان
چکیده
In this research, we present a methodology for extracting very narrow lines in correlated noisy environments. The approach is a generalization of the analysis of variance applied to the symmetrically balanced incomplete-blocks design. It encompasses many well-known algorithms when subjected to more restrictive conditions. The detector is robust and superior to the polynomial-approximation-based detector and the classical Prewitt detector. The procedure detects narrow lines embedded in nonuniform background without compromising resolution, and performs satisfactorily in severe corruptive noise. Extensive computer simulations demonstrate the practicality of the detector on real imaging environments.
منابع مشابه
A Novel Approach for Spatially Correlated Multi-User MIMO Channel Modeling: Impact of Surface Roughness and Directional Scattering
Recent multiple-input-multiple-output (MIMO) research has moved from independent fading channels to correlated fading channels that better fit real wireless environments. For point-to-point MIMO, many spatially correlated statistical or experimental channel models have been presented in the literature. However, correlated multi-user MIMO channels have not yet been studied, which is critical for...
متن کاملMinimax correlation between a line segment and a beamlet
The minimax correlation between a line segment and a beamlet is proved to be 2 : The result is useful for design of efficient line-segment detectors with noisy data. r 2005 Elsevier B.V. All rights reserved.
متن کاملDirectional benefit in simulated classroom environments.
PURPOSE To examine speech recognition performance and subjective ratings for directional and omnidirectional microphone modes across a variety of simulated classroom environments. METHOD Speech recognition was measured in a group of 26 children age 10-17 years in up to 8 listening environments. RESULTS Significant directional benefit was found when the sound source(s) of interest was in fro...
متن کاملPerformance Evaluation of Local Detectors in the Presence of Noise for Multi-Sensor Remote Sensing Image Matching
Automatic, efficient, accurate, and stable image matching is one of the most critical issues in remote sensing, photogrammetry, and machine vision. In recent decades, various algorithms have been proposed based on the feature-based framework, which concentrates on detecting and describing local features. Understanding the characteristics of different matching algorithms in various applications ...
متن کاملAccurate Fault Classification of Transmission Line Using Wavelet Transform and Probabilistic Neural Network
Fault classification in distance protection of transmission lines, with considering the wide variation in the fault operating conditions, has been very challenging task. This paper presents a probabilistic neural network (PNN) and new feature selection technique for fault classification in transmission lines. Initially, wavelet transform is used for feature extraction from half cycle of post-fa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
دوره 9 12 شماره
صفحات -
تاریخ انتشار 2000