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Complexity Reduction and Quality Enhancement in Image Coding
2013
International Journal of Future Computer and Communication
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In this paper we propose an image coding approach based on Alternative Fuzzy c-Means. ...
In the decoding phase, we suggest the application of a nonlinear anisotropic diffusion, based on Perona-Malik equation, to enhance the quality of the coded image. ...
CONCLUSION We have presented a qualitative based approach for image compression. Our proposed system is based on fuzzy image segmentation, the AFcM, to build the so called codewords. ...
doi:10.7763/ijfcc.2013.v2.153
fatcat:5uotm4vdbjajdjzljvvg5kg74m
Influence Of Ambiguity Cluster On Quality Improvement In Image Compression
2013
Zenodo
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It will also be very useful during the decoding phase in which an anisotropic diffusion operator, such as Perona-Malik, enhances the quality of the restored image. ...
Image coding based on clustering provides immediate access to targeted features of interest in a high quality decoded image. ...
CONCLUSION We investigated an efficient image compression technique based on fuzzy clustering and ambiguity concept. We studied the quality of compressed images without extracting ambiguous points. ...
doi:10.5281/zenodo.1073446
fatcat:ncfvszjv4rhbjowk7kbj3b37xi
A Review of Image Denoising Methods
2015
Journal of Engineering Science and Technology Review
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Image Denoising is one of the fundamental and very important necessary processes in image processing. It is still a challenging and a hot problem for researchers. ...
These methods have been categorized on the bases of techniques used. ...
Vosburg [148] proposed speckle noise removal approach from ultrasonic images based on study of numerical scheme of anisotropic diffusion filter and extending it to matrix of anisotropic diffusion. ...
doi:10.25103/jestr.085.07
fatcat:4c4f3oz3wzakhaitav3k5ktdp4
A Machine Learning Approach for Removal of JPEG Compression Artifacts: A Survey
2016
International Journal of Computer Applications
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JPEG is a widely used image compression method. Though it is very efficient, it introduces certain artifacts and quantization noise. ...
Some of the methods mentioned are Weiner filtering, Image Optimization, Zero-masking, Local Edge regeneration, Multiple dictionary learning, Hybrid Filtering, Fuzzy filtering, Total Variation Regularization ...
In artifact removal using fuzzy filtering method [8] , a combination of fuzzy filtering and the powerful anisotropic diffusion equations is employed. ...
doi:10.5120/ijca2016908732
fatcat:ag4oyo2cjvd4fd3syp55bpvczy
Automatic Labelling and BI-RADS Characterisation of Mammogram Densities
2005
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
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Subsequently, 'dense tissue' is labelled in a mammogram data set, and BI-RADS classification is performed based on a 2D pdf that is contracted from a "ground truth" data set as well as a shape analysis ...
Intelligent management of medical data is an important field of research in clinical information and decision support systems. ...
Diffusion In order to disregard the less important features of the mammogram, images are processed using an adaptive anisotropic diffusion-based filter [7] . ...
doi:10.1109/iembs.2005.1615961
pmid:17281731
fatcat:rj5wjzqflndkvo2iwgh6ikuwja
Semi-automated segmentation and classification of digital breast tomosynthesis reconstructed images
2011
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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In this work, we provide a segmentation and classification method to extract potential lesions, as well as adipose, fibroglandular, muscle and skin tissue in reconstructed DBT images that serve as anatomic ...
An integrated imaging platform that combines DBT with near infrared spectroscopy (NIRS) to provide coregistered anatomical and functional imaging is under development. ...
Poplack This work was supported in part by the National Institutes of Health (NIH) and the National Cancer Institute (NCI) Grants R01 CA139449 and R01 CA128906. ...
doi:10.1109/iembs.2011.6091528
pmid:22255752
pmcid:PMC3548319
dblp:conf/embc/VedanthamSKMKPP11
fatcat:cpyzkrkwond6fmyojzv5f22pt4
Segmentation of ultrasound images of thyroid nodule for assisting fine needle aspiration cytology
[article]
2012
arXiv
pre-print
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Image segmentation technique based on graph theory has become a research hotspot at present. ...
After the enhancement of anisotropic diffusion model, it removes the noise in the B ultrasound image while preserves the important edges and local details. ...
noise and images is usually fuzzy, we propose an improved image segmentation algorithm based on normalized cut is, combining homomorphism filtering, the anisotropic diffusion model, fractional differential ...
arXiv:1211.0602v1
fatcat:swfia4ggvfde3ckygfcdi3pvzm
Computational Intelligence in Image Processing
2013
Mathematical Problems in Engineering
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(RS) system and simulation of random noising effects, enhancement/reconstruction by employing nonparametric robust high-resolution techniques, and image post processing using the fuzzy anisotropic diffusion ...
First, the fuzzy histogram is computed based on fuzzy set theory to handle the inexactness of gray level values. ...
We hope this special issue offers a comprehensive and timely view of the area of applications of computational intelligence in image processing and that it will grant stimulation for further research. ...
doi:10.1155/2013/530404
fatcat:tbfbagmcizfqdmwjfqlww3xlxy
Segmentation of ultrasound images of thyroid nodule for assisting fine needle aspiration cytology
2013
Health Information Science and Systems
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Image segmentation technique based on graph theory has become a research hotspot at present. ...
After the enhancement of anisotropic diffusion model, it removes the noise in the B ultrasound image while preserves the important edges and local details. ...
The authors include Jie Zhao, Wei Zheng, Li Zhang, and Hua Tian. ...
doi:10.1186/2047-2501-1-5
pmid:25825657
pmcid:PMC4336119
fatcat:6ka6xzxwxfg25jbc3lqbw2wvba
Image De-Blurring and De-Noising using Weiner Filter and Anisotropic Diffusion for Natural Images
2017
International Journal for Research in Applied Science and Engineering Technology
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The proposed method basically represents how to de-blur and de-noise images using a wiener filter and Anisotropic Diffusion Filter. ...
The Wiener filter minimizes the mean square error between the estimated random process and the desired process to reduce the speckle/Gaussian noise from the medical images based on components separation ...
The Weiner Filter mostly focuses on removing the blur in the input image given. The Anisotropic diffusion removes the noise in the image without affecting the edges and textures of the natural image. ...
doi:10.22214/ijraset.2017.3213
fatcat:hm5v7lbdyrcgbdlozkbemzejei
Brain tumor detection in magnetic resonance images
2017
International Journal of Latest Trends in Engineering and Technology
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[10] explained the segmentation of Magnetic Resonance Images for brain tumor detection based on Fuzzy C Means method. ...
Compression based method Compression based strategy is used for optimal segmentation that minimize coding length of the structure and over all hopeful segmentation. ...
doi:10.21172/1.91.15
fatcat:ikjdiwfpl5bwrprsia66rv2jai
An Optimization of Novel Hybrid Bilateral Filter for Isotropic and Anisotropic of 2D-Images in All kinds of Transmissions
2016
International Journal of Science and Research (IJSR)
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This proposed method can be utilized in Satellite Image Processing, Atmospheric research Laboratories and Scientific Image Processing. ...
In this paper, a new deblurring and denoising algorithm is proposed for isotropy and anisotropy reconstruction for 2Dimages using Novel Hybrid Bilateral Filter (NHBF) in low level to high level noise values ...
Speckle reducing anisotropic diffusion (SRAD) approach is derived based on partial differential equation (PDE) in [I iee imp] which will allows the generation of an image based on shape of the image and ...
doi:10.21275/v5i3.nov162360
fatcat:whcfa6q33zbkjpqmps5beodu7u
State-of-the-art in retinal optical coherence tomography image analysis
2015
Quantitative Imaging in Medicine and Surgery
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In the recent past, it has found uses as a diagnostic tool in dermatology, cardiology, and ophthalmology. In this paper we focus on its applications in the field of ophthalmology and retinal imaging. ...
Another major step in OCT image analysis involves the use of segmentation techniques for distinguishing between different structures, especially in retinal OCT volumes. ...
Another example of using anisotropic diffusion is in (26) where an interval type-II fuzzy approach is used for determining the diffusivity function of the anisotropic diffusion. ...
doi:10.3978/j.issn.2223-4292.2015.07.02
pmid:26435924
pmcid:PMC4559975
fatcat:m35jwvfrlfamrntdfmqqqwp5oi
A Survey: Early Detection of Alzheimer's Disease Using Different Techniques
2015
International Journal on Computational Science & Applications
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In this paper, we have discussed various imaging modalities, feature selection and extraction, segmentation and classification techniques. ...
Anisotropic
Diffused
Total
Variation Fuzzy C
Means
(ADTVFCM)
Mainly used to reduce
image noise without
removing the image
content, edges, lines
and other details of the
image. ...
PET images are segmented using K-Means and FCM [9] . Dynamic Neuro-Fuzzy Technique [10] can also be used for segmenting tissues in MRI images. ...
doi:10.5121/ijcsa.2015.5103
fatcat:6tnxx5zv6ngzpfbin5qtzkdn2e
Enhanced Diffusion by Projected Curvelet for Segmentation without Guiding Information
2007
2007 IEEE International Conference on Signal Processing and Communications
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The model first applies Lorentzian-function based diffusion for stable pixel clustering, and then projects boundaries by Curvelet transform (CT) to enhance edges and modify region smear in diffusion. ...
In this paper, we present a new segmentation model, which makes uses of Curvelet's advantages of edge preserving and noise averaging. ...
INTRODUCTION Successful segmentation of objects plays a key role in image analysis, compression and more. ...
doi:10.1109/icspc.2007.4728483
fatcat:go7rd7vurnhxjkzm4wnd74po7a
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