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Priya S.,Government Model Engineering College | Paul V.,TocH Institute of Science and Technology
2011 - International Conference on Signal Processing, Communication, Computing and Networking Technologies, ICSCCN-2011 | Year: 2011

This paper presents a novel approach to the fast detection and extraction of fabric defects from the images of textile fabric. Automated visual inspection systems are much needed in the textile industry, especially when the quality control of products in textile industry is a significant problem. In the manual fault detection systems with trained inspectors, very less percentage of the defects are being detected while a real time automatic system can increase this to a maximum number. Thus, automated visual inspection systems play a great role in assessing the quality of textile fabrics. For the detection of fabric defects, we first decompose the image into its bit planes. The lower order bit planes are found to carry important information of the location and shape of defects. Then we find the exact location by means of mathematical morphology. The algorithm has been tested on a subset of TILDA1 image database with various visual qualities. Robustness with respect to the changes of the parameters of the algorithm has been evaluated. © 2011 IEEE.

Niras C.V.,Government Model Engineering College | Kong Y.,Macquarie University
IET Conference Publications | Year: 2012

An FPGA implementation of a delayed Least Mean Square (LMS) adaptive filter is proposed for acoustic noise reduction and echo cancellation. The design is based on a single MAC FIR filter minimizing the utilization of FPGA resources. This structure is well suited for echo cancellation and noise reduction in concert halls, where the filter length is high and the sampling rate is relatively low.

Harikrishnan S.,Anna University | Shouri P.V.,Government Model Engineering College
International Journal of Applied Engineering Research | Year: 2015

Accuracy control can be defined as the use of statistical techniques to monitor, control and continuously improve shipbuilding design details, planning, and work methods so as to maximize productivity. Accuracy Control essentially is based on the basic fact that there is no such thing as absolute accuracy. A study on the implementation of Accuracy Control System was carried out in a shipyard. To achieve this high degree of unit accuracy, the guidelines for systematically monitoring the production process was set. For implementation of accuracy control system, it is necessary to have an accuracy control data base. This gives the statistical history of the accuracy of the work processes employed. It is the quantitative measure of normal performance at every work stations. Each piece of data in accuracy control data base is associated with a particular work process. Based on these findings, a proposal was recommended to the shipyard on how Accuracy control system (ACS) can be initiated. It is inferred that with these recommendations, the quality of ship produced can be improved along with reduction in production cost and thereby increased competitiveness. After implementation a pilot study was conducted to ascertain the benefits accrued in the sub assembly area of Hull fabrication from the introduction of accuracy control. The present work focuses on implementation of Accuracy control in plate preparation stage in hull fabrication of Ship building. © Research India Publications.

Priya S.,Government Model Engineering College | Paul V.,TocH Institute of Science and Technology
European Journal of Scientific Research | Year: 2012

This paper demonstrates a method to the rapid detection and extraction of features like optic disc and macula from the images of human retina. For the diagnosis of ophthalmic pathologies, digital fundus images are becoming increasingly popular. This fact opens up the possibility of applying digital image processing techniques in ocular fundus images to facilitate and improve diagnosis in different ways. Optic Disc and Macula are the major landmarks for retinal fundus image registration and are indispensible for the quick understanding of retinal images. For the detection and subsequent extraction of these important features, we first perform bit plane slicing to the pre-processed image. Bit plane 0 and bit plane 1 are found to carry vital information of the location and boundary of optic disc and macula. Then we locate the exact boundary by means of mathematical morphology. The proposed algorithm is computationally simple and does not require prior knowledge of other retinal image features like vasculature. The algorithm has been evaluated on a subset of MESSIDOR1 image database with various visual qualities. Robustness with respect to changes in the parameters of the algorithm has been examined. © EuroJournals Publishing, Inc. 2012.

Govindan R.V.,Government Model Engineering College | Narayanan N.N.V.,Cochin University of Science and Technology
ASME 2015 International Manufacturing Science and Engineering Conference, MSEC 2015 | Year: 2015

The work investigates applicability of recurrence quantification analysis (RQA) in metal cutting with an objective to detect tool wear. The effectiveness of applying a system input signal; the drive motor current, in relation to a system output signal; the tool vibration, for the analysis is also explored. The work establishes conclusively that three of the RQA variables, percent determinism, percent recurrence and entropy are sensitive to tool wear. Copyright © 2015 by ASME.

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