Introduction One of the most important pre-processing steps in optical coherence tomography (OCT) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of OCT images. Materials and Methods The present study focused on speckle noise reduction and edge detection techniques. Statistical filters with different masks and noise variances were applied on ...

A novel adaptive nonlinear filter is proposed aimed at smoothing homogenous regions while maintaining image structures. The filter can be utilized as a pre-processing tool in image segmentation and edge estimation for improving the results. Several special features are introduced to the filter, including using local adaptive radial clustering and pixel filtering to exclude the influence of outl...

This paper introduces fast and effective fusing of images through merging of multiple images for creating a highly information fused image .Here the edge preserving smoothing filter is used as guided filter. The fusion criterion is to minimize the different error between the fused image and input image The proposed method is based on two scale decomposition of image into a detail layer capturin...

A prevalent problem in statistical signal processing, applied statistics, and time series analysis is the calculation of the smoothed posterior distribution, which describes the uncertainty associated with a state, or a sequence of states, conditional on data from the past, the present, and the future. The aim of this paper is to provide a rigorous foundation for the calculation, or approximati...

In this paper, we present an iterative Kalman smoother (IKS) for robust 3D localization and mapping, using visual and inertial measurements. Contrary to extended Kalman filter (EKF) methods, smoothing increases the convergence rate of critical parameters (e.g., IMU’s velocity and camera’s clock drift), improves the positioning accuracy during challenging conditions (e.g., scarcity of visual fea...

DWM (Directional weighted median) filter is very popular in filtering digital image and remove mixed noise. Fuzzy logic implemented with median filters to improve its performance. In the previous work, fuzzy system switching gives better performance than directional as well filter. Experimenting same didn’t yield results therefore parameters has been changes per strong points of a constant incl...

introduction one of the most important pre-processing steps in optical coherence tomography (oct) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of oct images. materials and methods the present study focused on speckle noise reduction and edge detection techniques. statistical filters with different masks and noise variances were applied on ...

In this paper, we develop a multilayered genetic based fuzzy image filter, which consists of fuzzy number construction process, a fuzzy filtering process, a genetic learning process and an image knowledge base. The introduction of multilayered fuzzy systems substantially decreases the no of rules to be learnt. First, the fuzzy number construction process receives noise free image and sample ima...

This paper describes a novel fuzzy logic controller for a three phase shunt active shunt filter for the power quality improvement. The Power Quality (PQ) problems in power distribution systems are not new but only recently the effects of these problems have gained public awareness. These non-linear loads are constructed by nonlinear devices in which the current is not proportional to the applie...

In this paper we develop a fuzzy image filter which consists of a multi-layered fuzzy structure based on the weighted fuzzy blend filter for the removal of noise from images heavily corrupted by impulse noise, while preserving the intricate details of the image. The introduction of multi-layered fuzzy systems substantially decreases the number of rules to be learnt. We then show how Evolutionar...