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  1. Article ; Online: Non linear Image segmentation using fuzzy c means clustering method with thresholding for underwater images

    G. Padmavathi / M. Muthukumar / Suresh Kumar Thakur

    International Journal of Computer Science Issues, Vol 7, Iss 3, Pp 35-

    2010  Volume 40

    Abstract: The quality of underwater images is directly affected by water medium, atmosphere, pressure and temperature. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the ... ...

    Abstract The quality of underwater images is directly affected by water medium, atmosphere, pressure and temperature. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image segmentation is the most practical approach among virtually all automated image recognition systems. Clustering of numerical data forms the basis of many classification and system modelling algorithms. The purpose of clustering is to identify natural groupings of data from a large data set to produce a concise representation of a system's behaviour. In this paper we propose fuzzy c means clustering method with thresholding for underwater image segmentation. This paper focuses on comparison of fuzzy c means clustering algorithms with proposed method for underwater images. To evaluate the nonlinear image region segmentation, quantitative statistical measures have been used, such as the gray level energy, discrete entropy, relative entropy, mutual information and information redundancy. The assessment measures will further quantify the impact from image segmentation. The objective assessment approach has the potential to solve other image processing issues.The proposed method gives desirable results on the basis of energy, entropy, mutual information, redundancy, percentage of simplification and computer efficiency for underwater images.
    Keywords underwater images ; fuzzy c means clustering ; energy ; entropy and mutual information ; IJCSI ; Electronic computers. Computer science ; QA75.5-76.95 ; Instruments and machines ; QA71-90 ; Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Computer Science ; DOAJ:Technology and Engineering
    Subject code 006
    Language English
    Publishing date 2010-05-01T00:00:00Z
    Publisher IJCSI Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Experimental and Monte Carlo study of the effect of the presence of dry air, cortical bone inhomogeneities and source position on dose distribution of the mHDR-v2 source

    Rakesh M Chandola / Samit Tiwari / Manjula Beck / Pradeep Kumar Chandrakar / Suresh Kumar Thakur

    Journal of Cancer Research and Therapeutics, Vol 8, Iss 4, Pp 555-

    2012  Volume 560

    Abstract: Background: Recently it was data wise established that there is a considerable dose difference due to source position from the surface of the patient, and due to the presence of inhomogeneities. Aim: It aims at to find out the dose difference due to ... ...

    Abstract Background: Recently it was data wise established that there is a considerable dose difference due to source position from the surface of the patient, and due to the presence of inhomogeneities. Aim: It aims at to find out the dose difference due to source position, and inhomogenieties in water phantom of high dose rate (HDR) 192 Ir mHDR-v2 source by experiment and by Monte Carlo (MC) simulation GEANT4 code. Materials and Methods: The measured study of the source was done using an in-air ionization chamber, water phantom while the calculated study was done by modeling the water phantom and its water, inhomogeneities, position of source, and points of calculation. Results: The measured and calculated dose differences are 5.48 to 6.46% and 5.43 to 6.44% respectively higher in the presence of dry air and 4.40 to 4.90% and 4.38 to 4.88% respectively lower in the presence of cortical bone. However, for the study of the effect of source position on dose distribution, when the source was positioned at a 1 cm distance from the surface of water phantom, the near points between 1 cm and 2 cm are 2 to 3.5% and 2.1-3.7% underdose and for distant points from 3 cm to 8 cm from the source are 4 to 15% and 4.1 to 15.8% underdose for measured and calculated studies, respectively, to the dose when the source was positioned at midpoint of water phantom. Conclusion: These results can be used in the treatment planning system.
    Keywords Brachytherapy ; GEANT4 ; HDR ; inhomogeneity ; Monte Carlo ; Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; RC254-282 ; Internal medicine ; RC31-1245 ; Medicine ; R
    Subject code 690
    Language English
    Publishing date 2012-01-01T00:00:00Z
    Publisher Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: An Optimal Method For Wake Detection In SAR Images Using Radon Transformation Combined With Wavelet Filters

    Ms. M. Krishnaveni / Mr. Suresh Kumar Thakur / Dr. P. Subashini

    International Journal of Computer Science and Information Security, Vol 6, Iss 1, Pp 66-

    2009  Volume 69

    Abstract: A new-fangled method for ship wake detection in synthetic aperture radar (SAR) images is explored here. Most of the detection procedure applies the Radon transform as its properties outfit more than any other transformation for the detection purpose. But ...

    Abstract A new-fangled method for ship wake detection in synthetic aperture radar (SAR) images is explored here. Most of the detection procedure applies the Radon transform as its properties outfit more than any other transformation for the detection purpose. But still it holds problems when the transform is applied to an image with a high level of noise. Here this paper articulates the combination between the radon transformation and the shrinkage methods which increase the mode of wake detection process. The latter shrinkage method with RT maximize the signal to noise ratio hence it leads to most optimal detection of lines in the SAR images. The originality mainly works on the denoising segment of the proposed algorithm. Experimental work outs are carried over both in simulated and real SAR images. The detection process is more adequate with the proposed method and improves better than the conventional methods.
    Keywords SAR images ; threshold ; radon transformation ; Signal to noise ratio ; denoising ; IJCSIS ; Electronic computers. Computer science ; QA75.5-76.95 ; Instruments and machines ; QA71-90 ; Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Computer Science ; DOAJ:Technology and Engineering
    Subject code 006
    Language English
    Publishing date 2009-10-01T00:00:00Z
    Publisher LJS Publisher and IJCSIS Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  4. Article ; Online: Performance analysis of Non Linear Filtering Algorithms for underwater images

    Suresh Kumar Thakur / Dr. P. Subashini / Mr. M. Muthu Kumar / Dr. G. Padmavathi

    International Journal of Computer Science and Information Security, Vol 6, Iss 2, Pp 232-

    2009  Volume 238

    Abstract: Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected in to the image during transmission. Underwater images when captured usually have Gaussian noise, ... ...

    Abstract Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected in to the image during transmission. Underwater images when captured usually have Gaussian noise, speckle noise and salt and pepper noise. In this work, five different image filtering algorithms are compared for the three different noise types. The performances of the filters are compared using the Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). The modified spatial median filter gives desirable results in terms of the above two parameters for the three different noise. Forty underwater images are taken for study.
    Keywords Mean filter ; Median filter ; Component Median filter ; Vector Median filter ; Spatial Median filter ; Modified Spatial Median filter for Gaussian noise ; Peak Signal to Noise Ratio ; Mean Square Error ; IJCSIS ; Electronic computers. Computer science ; QA75.5-76.95 ; Instruments and machines ; QA71-90 ; Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Computer Science ; DOAJ:Technology and Engineering
    Language English
    Publishing date 2009-11-01T00:00:00Z
    Publisher LJS Publisher and IJCSIS Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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