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[PDF] Top 20 Fast stochastic restoration of gray level images

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Fast stochastic restoration of gray level images

Fast stochastic restoration of gray level images

... The proposed technique is related to simulated annealing but generates candidates more efficiently for gray level images than either the Gibbs sampler or the Metropolis procedure.. Conve[r] ... See full document

25

An Improved Decision based Asymmetric Trimmed Median Filter for Removal of High Density Salt and Pepper Noise

An Improved Decision based Asymmetric Trimmed Median Filter for Removal of High Density Salt and Pepper Noise

... de-noised images should not have any pixels with extreme gray-level ...image restoration process should be able to identify the regional feature in the image and correct it ... See full document

7

Fast two-phase image segmentation based on diffusion equations and gray level sets

Fast two-phase image segmentation based on diffusion equations and gray level sets

... discrete gray level ...synthetic images and real world images both clearly outperform the main alternative methods especially for images contaminated by ... See full document

16

A USER INTERFACE FOR BLOCK BASED FEATURE EXTRACTION OF DIGITAL IMAGES

A USER INTERFACE FOR BLOCK BASED FEATURE EXTRACTION OF DIGITAL IMAGES

... Commercial Marine Food Industry is one of the fastest and largest growing Industries in India. As coastal areas exist throughout the south part of the country, it is ever growing and demanding industry in India. The ... See full document

5

Improved Stochastic Random Walker Segmentation based on Gaussian Filtering

Improved Stochastic Random Walker Segmentation based on Gaussian Filtering

... in stochastic region. Here introduce in this paper extension of stochastic random walker segmentation ...In stochastic random walker segmentation, a weighted graph is built from the image, where the ... See full document

5

Intensity Enhancement in Gray Level Images using HSV Color Coding Technique

Intensity Enhancement in Gray Level Images using HSV Color Coding Technique

... (enhancement, restoration), extract the information (analysis, recognition), and change their structure (composition, image ...editing). Images can be processed by optical, photographic, and electronic ... See full document

7

Gray Level Image Edge Detection Using a Hybrid Model of Cellular Learning Automata and Stochastic Cellular Automata

Gray Level Image Edge Detection Using a Hybrid Model of Cellular Learning Automata and Stochastic Cellular Automata

... OALibJ | DOI:10.4236/oalib.1101203 2 January 2015 | Volume 2 | e1203 tomata (CA), cellular learning automata (CLA) and fuzzy cellular automata (FCA) [9]-[12]. Several well-known methods use first-order derivatives to ... See full document

9

Robust and Efficient Segmentation of Blood Vessel in Retinal Images using Gray-Level Textures Features and Fuzzy SVM

Robust and Efficient Segmentation of Blood Vessel in Retinal Images using Gray-Level Textures Features and Fuzzy SVM

... of gray-level and intensity histogram-based features for pixel ...retinal images where the vascular structure has been precisely marked by ...and fast implementation, make this blood vessel ... See full document

10

Crowd detection from aerial images

Crowd detection from aerial images

... Chapter three proposes the methodology. In this chapter the methods and steps that are proposed in order to perform crowd detection are described. The methods consist of; Features from Accelerated Segment Test ... See full document

24

The Substantia Nigra in Parkinson Disease: Proton Density Weighted Spin Echo and Fast Short Inversion Time Inversion Recovery MR Findings

The Substantia Nigra in Parkinson Disease: Proton Density Weighted Spin Echo and Fast Short Inversion Time Inversion Recovery MR Findings

... weighted images at the level of the upper ...or restoration of the SNr signal intensity is present in patients with Parkinson disease ...(STIR) images, although the SNr and SNc cannot be ... See full document

10

Restoration of neutron radiography images

Restoration of neutron radiography images

... the restoration of linearly degraded images without explicit knowledge of either the original image or the point spread ...black, gray, or white ... See full document

23

Performance of Fractal Image Compression for Medical Images: A Comprehensive Literature Review

Performance of Fractal Image Compression for Medical Images: A Comprehensive Literature Review

... The frequency domain refers to the plane of the two dimensional discrete Fourier transform of an image. The purpose of the Fourier transform is to represent a signal as a linear combination of sinusoidal signals of ... See full document

11

Restoration of motion blurred images.

Restoration of motion blurred images.

... The capability of the Kalman-Bucy filter to handle computationally complex restoration is used. Such statistical approaches could also be used with the reverse napping algorithm proposed in Section 3.2. This ... See full document

139

Title : An Impression Of Watershed Transformation For Glaucoma Segmentation Author (s) : R. Nishanthi, Dr. S. Manimekalai

Title : An Impression Of Watershed Transformation For Glaucoma Segmentation Author (s) : R. Nishanthi, Dr. S. Manimekalai

... its gray level, and consider rain gradually falling on the terrain, then the watersheds are the lines that separate the “lakes” (actually called catchment ...in gray level retinal ... See full document

5

Impulse Denoising Algorithm for Gray and RGB Images

Impulse Denoising Algorithm for Gray and RGB Images

... The approach of Weighted Median Filter (WMF) has caught ample attention in signal and image processing applications [7]. Considered as a generalization of the classical median filter, weighted median filters have ... See full document

6

IMAGE FUSION TECHNIQUE FOR RESTORATION OF IMAGES

IMAGE FUSION TECHNIQUE FOR RESTORATION OF IMAGES

... A total variation norm based approach [10] has been adopted to fuse the pixels of the noisy input images. The total variation norm has been used in several image processing applications. With the recent rapid ... See full document

11

Texture Feature Extraction to Colorize Gray Images

Texture Feature Extraction to Colorize Gray Images

... the gray image to an indexed image ...the gray image coloring ...the gray image pixels [4], which are: Transformational Coloring, User Selection and Image ... See full document

8

Color Image Segmentation Based on PCNN

Color Image Segmentation Based on PCNN

... segmentation images are two valued ...maximum gray entropy and maximum variance ratio are used to improve the traditional ...color, gray and two values, which is convenient for the subsequent ... See full document

13

Fast Retrieval of Images Using Filtered HSV Color Level Detection

Fast Retrieval of Images Using Filtered HSV Color Level Detection

... from images such as colour, texture and shape are known as feature ...query images and images in the ...both images and comparing them to search for similar features of the images in ... See full document

6

Analysis of Machine Learning Techniques Applied to the Classification of Masses and Microcalcification Clusters in Breast Cancer Computer Aided Detection

Analysis of Machine Learning Techniques Applied to the Classification of Masses and Microcalcification Clusters in Breast Cancer Computer Aided Detection

... Once the segmentation phase has found suspicious re- gions of interest (ROI) containing abnormalities, a fea- ture extraction phase is performed. In [13] authors ana- lyzed the performance of temporal features as ... See full document

9

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