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[PDF] Top 20 Relaxed Median Filter: A Better Noise Removal Filter for Compound Images

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Relaxed Median Filter: A Better Noise Removal Filter for Compound Images

Relaxed Median Filter: A Better Noise Removal Filter for Compound Images

... using compound images. So, noise removal is necessary to maintain the quality of the compound ...images. Noise can be added to the compound images during ... See full document

7

Removal of Salt and Pepper Noise through Unsymmetric Trimmed Median Filter

Removal of Salt and Pepper Noise through Unsymmetric Trimmed Median Filter

... Trimmed Median Filter (DBUTMF) is proposed [7]. At high noise densities, if the selected window contains all 0’s or 255’s or both then, trimmed median value cannot be ...give better ... See full document

3

A Decision tree and Conditional Median Filter Based Denoising  for impulse noise in images

A Decision tree and Conditional Median Filter Based Denoising for impulse noise in images

... conditional median filter is introduced for the removal of salt and pepper noise in ...finds better solution for the problem. To enhance the effects of removal of impulse ... See full document

6

PSO Algorithm based Adaptive Median Filter for Noise Removal in Image Processing Application

PSO Algorithm based Adaptive Median Filter for Noise Removal in Image Processing Application

... Digital images are prone to a variety of types of ...pepper noise. In case of impulse noise, negative impulse appears as black (pepper) points and positive impulse appear as white (salt) ...nonlinear ... See full document

7

A Modified Decision Based Mean Median Algorithm for Removal  of High Density Salt and Pepper Noise

A Modified Decision Based Mean Median Algorithm for Removal of High Density Salt and Pepper Noise

... mean median filter for removal of salt and pepper noise in gray scale ...The noise free pixels are not modified, which helps in retaining the image ...performs better than ... See full document

5

A Computer Aided Diagnosis System for Lung Cancer Detection Using Support Vector Machine

A Computer Aided Diagnosis System for Lung Cancer Detection Using Support Vector Machine

... CT images had been presented and the CT screening system used was a TCT-900 super helix of the Toshiba ...CT images are ...CT images and to assist the comparative reading in ... See full document

7

SEGMENTATION OF CT SCAN LUMBAR SPINE IMAGE USING MEDIAN FILTER AND CANNY EDGE DETECTION ALGORITHM

SEGMENTATION OF CT SCAN LUMBAR SPINE IMAGE USING MEDIAN FILTER AND CANNY EDGE DETECTION ALGORITHM

... using Median Filter and Canny Edge Detection Algorithm between lumbar spine CT scan spine disc ...produced better result when compared other edge detection ...noisy images, the comparative ... See full document

9

Determination of macromolecular exchange and PO2 in the microcirculation: a simple system for in vivo fluorescence and phosphorescence videomicroscopy

Determination of macromolecular exchange and PO2 in the microcirculation: a simple system for in vivo fluorescence and phosphorescence videomicroscopy

... light filter with cut off at 630 nm before being captured by a photomultiplier (model 77344, Oriel), with a peak radiant sensitivity (approximately 70 mA/W) in the 600-800 nm ... See full document

7

A Technique for Pulse RADAR Detection Using RRBF Neural Network

A Technique for Pulse RADAR Detection Using RRBF Neural Network

... (FIR) filter is placed next to a matched filter pulse [3] and the filter is implemented via two approaches: Least Mean Square (LMS) and RLS ...yielded better SSR than MLP and autocorrelation ... See full document

6

A COMPUTER AIDED DIAGNOSIS SYSTEM FOR DETECTION OF LUNG CANCER NODULES USING EXTREME LEARNING MACHINE

A COMPUTER AIDED DIAGNOSIS SYSTEM FOR DETECTION OF LUNG CANCER NODULES USING EXTREME LEARNING MACHINE

... Cheran et al., [6] given Computer aided diagnosis for lung CT using artificial life models. This paper introduces a novel computer assisted detection method for lung cancer from CT images. The proposed technique ... See full document

10

Filter-Dense Multicolor Microscopy.

Filter-Dense Multicolor Microscopy.

... the filter set arrangements have basically remained the same, and often span a much broader wavelength interval than necessary to receive strong ...condensed filter sets that are more specific for each ... See full document

13

Edge Detection in Grayscale Images Using Fuzzy Logic and Filter Disk

Edge Detection in Grayscale Images Using Fuzzy Logic and Filter Disk

... the filter disc using a smoothed ...multiple images using fuzzy algorithms indicate that the approach gives better results than the above methods in dealing with the irrelevant edges and ...the ... See full document

9

A Computationally Efficient Filter for Reducing Shot Noise in Low S/N Data.

A Computationally Efficient Filter for Reducing Shot Noise in Low S/N Data.

... Fig 3. Application of the Okada filter to fMCI data. A. In a confocal image of the CA3 region of cultured hippocampal slices loaded with OGB1-AM (top), the cell bodies of neurons were identified (bottom). B. Left ... See full document

18

Noise Removing of Audio Speech Signals by Means of Kalman Filter

Noise Removing of Audio Speech Signals by Means of Kalman Filter

... digital filter along with an adaptable algorithm is usually applied in adaptable filters so that the filter factor can be determined by means of adaptable ...Kalman filter-which counts as one of the ... See full document

6

AC SPEED CONTROL EQUIPMENT

AC SPEED CONTROL EQUIPMENT

... The inverter will generate high harmonic electromagnetic noise, so using the following noise measures is recommended. a) Insert an EMC filter on the input side of the inverter. Refer t[r] ... See full document

443

A novel automatic algorithm for the segmentation of the lumen of the carotid artery in ultrasound B-mode images

A novel automatic algorithm for the segmentation of the lumen of the carotid artery in ultrasound B-mode images

... diffusion filter must be applied to the image, in order to attenuate the great amount of speckle noise that is present in the ...the filter proposed in (Perona and Malik, 1990) with a 2D network ... See full document

20

Image Fusion Technique for Impulse Noise Removal in Digital Images using Empirical Mode Decomposition

Image Fusion Technique for Impulse Noise Removal in Digital Images using Empirical Mode Decomposition

... impulse noise reduction in digital images is ...quality images. Images of an object or scene, captured by sensors undergo filtering using different filtering algorithms individually and these ... See full document

5

A Decomposition and Noise Removal Method Combining Diffusion Equation and Wave Atoms for Textured Images

A Decomposition and Noise Removal Method Combining Diffusion Equation and Wave Atoms for Textured Images

... Figures 13a, 13b, 13c, 13d, and 13e show residues in relation to Figure 12a obtained by Figures 12b, 12c, 12d, 12e, and 12f, respectively. As mentioned before, we can see that the curvelet transform ... See full document

21

Periodic Noise Suppression from ECG Signal using  Novel Adaptive Filtering Techniques

Periodic Noise Suppression from ECG Signal using Novel Adaptive Filtering Techniques

... the noise part of the primary input in order to cancel the noise ...the noise part of the primary input, ANC cannot perform well as the case with a well correlated reference ...adaptive noise ... See full document

5

AR TI FilterDesign sloa093

AR TI FilterDesign sloa093

... check filter theory in old college textbooks—and try to translate transfer equations into something that can be put into ...the filter circuits given here, and the limitations of this quickie approach to ... See full document

14

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