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Institution

Mepco Schlenk Engineering College

About: Mepco Schlenk Engineering College is a based out in . It is known for research contribution in the topics: Wavelet & Wavelet transform. The organization has 1307 authors who have published 1665 publications receiving 18690 citations.


Papers
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Journal ArticleDOI
01 Nov 2015-Optik
TL;DR: Instead of using a single histogram specification, this paper employs two different histogram specifications for adaptive histogram equalization (AHE) and the improved performances are compared with standard AHE, unsharp masking (UM), and recently proposed nonlinear unsharp masks (NLUS).

40 citations

Journal ArticleDOI
TL;DR: In this paper, soapnut seeds biochar was used as an adsorbent for the effective removal process of ciprofloxacin-500mg from wastewater generated from pharmaceutical industries.

39 citations

Proceedings ArticleDOI
01 Jan 2016
TL;DR: This paper proposed a technique for the generation of image content descriptor with three features viz., Color auto-Correlogram, Gabor Wavelet and Wavelet Transform, which retrieves the meaningful image from the image database which satisfies the user expectation.
Abstract: Due the rapid growth in the area of Digital Image Processing the semantic based techniques are also been emerged for an efficient processing In order to achieve an efficient result; this paper a proposed a technique for the generation of image content descriptor with three features viz, Color auto-Correlogram, Gabor Wavelet and Wavelet Transform Color Auto-Correlogram Feature is associated with color information of an image which is derived from the RGB color space of an image The Gabor Wavelet Feature is has the texture information to extract the textural features associated with the image and the Wavelet Transform Feature is linked with shape information in the extraction of edges in an image The feature extraction process is accomplished based on the input query image from the IDB and the features are stored in a feature dataset The Manhattan distance is applied on the user given query image and feature vector computed from database images for measuring similarity Finally, the proposed technique retrieves the meaningful image from the image database which satisfies the user expectation The performance of the retrieval system has been analyzed by the performance measures Precision and Recall The efficiency of the proposed feature descriptor is tested for CBIR system using Corel image database, Li image database and Caltech-101 image database

39 citations

Journal ArticleDOI
TL;DR: In this paper, the insights for mimicking the natural phenomenon found in lotus leaves i.e. super-hydrophobic surface are compiled, and detailed description about the water repellent nature, rolling-off properties of the water droplet with the nano/micro engineered surfaces in terms of Wenzel and Cassie-Baxter models are explored.

39 citations

Journal ArticleDOI
TL;DR: In this paper, a new natural fiber from one of the cotton plant's byproducts, which is chemically modified by alkaline treatment, was identified for the preparation of natural fiber-reinforced polymer composites.

39 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202210
2021239
2020162
2019171
2018159
2017144