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

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 46 - Number 16
Year of Publication: 2012
Reena Thakur
Arun Yadav

Reena Thakur and Arun Yadav. Article: Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform. International Journal of Computer Applications 46(16):1-5, May 2012. Full text available. BibTeX

	author = {Reena Thakur and Arun Yadav},
	title = {Article: Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {46},
	number = {16},
	pages = {1-5},
	month = {May},
	note = {Full text available}


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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