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Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform

by Reena Thakur, Arun Yadav
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 16
Year of Publication: 2012
Authors: Reena Thakur, Arun Yadav
10.5120/6990-9366

Reena Thakur, Arun Yadav . Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform. International Journal of Computer Applications. 46, 16 ( May 2012), 1-5. DOI=10.5120/6990-9366

@article{ 10.5120/6990-9366,
author = { Reena Thakur, Arun Yadav },
title = { Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 16 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number16/6990-9366/ },
doi = { 10.5120/6990-9366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:52.262114+05:30
%A Reena Thakur
%A Arun Yadav
%T Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 16
%P 1-5
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Color image preprocessing and segmentation has been widely acceptedas an important component of the image mining. In this paper, we have proposed the denoising concept. The method used for pre-processing the color image includes wavelet based segmentation which has the advantage of more efficiency, better quality and accuracy of image. The preprocessing method wavelet transforming has the advantage of multi-resolution inboth time domainsas well as in frequency domain, so it can be used to describe the partial characteristics for both domains. Wavelet denoising is a more successful kind of application of wavelettransforming. Using the multi-resolution of wavelet, the non-steady characteristics of signals can be analyzed efficientlyand give more refined results. The experiment has shown enhanced results produced by our proposed technique than the previous approaches in practice.

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Index Terms

Computer Science
Information Sciences

Keywords

Color Image Otsu Algorithm Wavelet Transform Karhunen-loeve Algorithm image Preprocessing Image-segmentation

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