conclusions by measuring image quality metrics, this study showed that dtd and ctd filters with the canny edge detection respectively, are better than srad filter with the canny detection for speckle suppression and details preservation in both arteries in the ultrasound images. background ultrasonic evaluation of intima-media thickness (imt) is an early marker of assessing the development of a...

In this paper a new method is introduced for root detection in minirhizotron images for root investigation. In this method firstly a hypothesis testing framework is defined to separate roots from background and noise. Then the correct roots are extracted by using an entropy-based geometric level set decision function. Performance of the proposed method is evaluated on real captured images in tw...

The advantage of ensemble methods over single methods is their ability to correct the errors of individual ensemble members and thereby improve the overall ensemble performance. This paper explores the relation between ensemble diversity and noise detection performance in the context of ensemble-based class noise detection by studying different diversity measures on a range of heterogeneous noi...

Baker and Meese (2012) have recently published an article entitled, ‘‘Zero-dimensional noise: The best mask you never saw.’’ In this article, they describe 0D noise, which basically consists in randomly jittering the contrast of the target stimulus. In a series of experiments, they compared processing properties for a detection task in 0D with 2D noise (i.e., white pixel noise). They found that...

Gaussian Mixture Models (GMMs) of power spectral densities of speech and noise are used with explicit Bayesian estimations in Wiener filtering of noisy speech. No assumption is made on the nature or stationarity of the noise. No voice activity detection (VAD) or any other means is employed to estimate the input SNR. The GMM mean vectors are used to form sets of over-determined system of equatio...

This paper discuss the effect of noise on vowel onset point (VOP) detection performance. Noise is one of the major degradation in real-time environments. In this work, initially effect of noise on VOP detection is studied by using recently developed VOP detection method. In this method, VOPs are detected by combining the complementary evidence from excitation source, spectral peaks and modulati...

We present theorems and an algorithm to find optimal or near-optimal “stochastic resonance” (SR) noise benefits for Neyman-Pearson hypothesis testing and for more general inequality-constrained signal detection problems. The optimal SR noise distribution is just the randomization of two noise realizations when the optimal noise exists for a single inequality constraint on the average cost. The ...

Impulse noise detection is a critical issue when removing impulse noise and impulse/Gaussian mixed noise. In this paper, we propose a new detection mechanism for universal noise and a universal noise-filtering framework based on the nonlocal means (NL-means). The operation is carried out in two stages, i.e., detection followed by filtering. For detection, first, we propose the robust outlyingne...