This paper presents a Gaussian noise filter that uses a sigmoid shaped membership function to model image information in the spatial domain. This function acts as a tunable smoothing intensification operator. With a proper choice of two sigmoid parameters ‘t’ and ‘a’, the filter strength can be tuned for removal of Gaussian noise in intensity images. An image information measure, Total Compatib...

A new recursive algorithm, called the Gaussian convolution filter (GCF), is proposed for nonlinear dynamic state space models. Based on the convolution filter (CF) and similar to the Gaussian filters, the GCF approximates the posterior density of the states by Gaussian distribution. The analytical results show the ability to deal with complex observation model and small observation noise of the...

In this paper, a Gaussian filter for nonlinear Bayesian estimation is introduced that is based on a deterministic sample selection scheme. For an effective sample selection, a parametric density function representation of the sample points is employed, which allows approximating the cumulative distribution function of the prior Gaussian density. The computationally demanding parts of the optimi...

Accurate detection of blood vessels from retina is an important job in computer aided diagnosis of Diabetic Retinopathy. The Matched filter is simple & effectively good method for vessel extraction. But Problem with that it recognizes vessels and non-vessels edges so it will detect false vessels. In this paper we introduce new extension of Matched Filter i.e. FDOG to extract the vessels. The MF...

The canny edge detection technique is a multi-stage algorithm which is an optimal edge detection technique. But it removes noise in an image using Gaussian filter to become insensitive to noise. The Gaussian filter smoothes even the edges in the images so that the through put is decreased. That is some of the true edges may be missed and false edges may appear in the edge detection. We propose ...

Gaussian filter has an important role in edge detection. In this paper, a new methodology for edge detection using Gaussian second order derivative filters is proposed. Channel separation for Retinal Colour Fundus image is used followed by Gaussian filter. The performance of our proposed method has been assessed on 23 images representing the publicly available dataset; High-Resolution Fundus (H...

Multi-scale processing is essential in image and computer graphics. Halos are a central issue multi-scale processing. Several edge-preserving decompositions resolve halos, e.g., local Laplacian filtering (LLF), by extending the pyramid to have an property. Its costly; thus, approximated acceleration of fast LLF was proposed linearly interpolate multiple pyramids. This paper further improves acc...