S. Boopathy

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Sreekrishna Muthukumaravel

R. S. Sabeenian

Marymount University

V. Vanathe

M. Manikandan

Presidency University

Perumal Pitchandi

Tirunelveli Medical College

Cooperative Institutions

Marymount University

Instituto do Sono

Presidency University

Vellore Institute of Technology University

Sri Sivasubramaniya Nadar College of Engineering

University of West Bohemia

Bharathidasan University

Gorgias Press (United States)

Diamond Materials (United States)

KPR Institute of Engineering and Technology

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Identification of Diseases in Grapes using Gray Level Co-Occurrence Matrix &Wavelet Statistical Features

CiiT international journal of digital image processing (2012)

R. S. Sabeenian S. Boopathy

Vine

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Content Based Segregation of Pertinent Documents Using Adaptive Progression

Circuits and Systems (2016)

Perumal Pitchandi Sreekrishna Muthukumaravel S. Boopathy

Due to the emerging technology era, today a number of firms share their service/product descriptions. Such a group of information in the textual form has some structured information, which is beneath the unstructured text. A new attainment which facilitates the form of a structured metadata by recognizing documents which are likely to have some type and this information is then used for both segregation and search process. The idea of this advent describes some attributes of a text that will match with the query object which acts as identifier both for segregation as well as for storage and retrieval. An adaptive technique is proposed to deal with relevant attributes to annotate a document by satisfying the users querying needs. The solution for annotation-attribute suggestion problem is not based on the probabilistic model or prediction but it is based on the basic keywords that a user can use to query a database to retrieve a document. Experiment results show that Querying value and Content Value approach is much useful in predicting a tag for a document and thus prediction is also based on Querying value and Content value which greatly improves the utility of shared data which is a drawback in the existing system. This approach is different, as we consider only the basic keywords to be matched with the content of a document. When compared with other approaches in the existing system, Clarity is a primary goal as we expect that the annotator may improve the annotations on process. The discovered tags assist on quest of retrieval as an alternative to bookmarking.

CLARITY

Value (mathematics)

10.4236/cs.2016.78160

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MR image denoising and enhancing using multiresolution image decomposition technique

V. Vanathe S. Boopathy M. Manikandan

A kind of processing the medical images like MRI to improve their appearance to the viewers in terms of better interaction in features of interest and enhance the visibility in relevant computer aided analysis and diagnosis. A Multiresolution technique is ubiquitous for decomposing the images into multiple scales and is widely used for analysis of images. In this paper, various resolution technique are applied and aimed to improve image quality of given MRI images. This demonstrates certain features in processed image which is better than the original image in appearance. The image quality has been measured using various parameters. This paper will discuss the multiresolution techniques such as scalar wavelet, multiwavelet and laplacian pyramid and compare their statistical parameters.

Multiresolution analysis

Pyramid (geometry)

10.1109/icsipr.2013.6497953

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Citations (5)