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Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 31-512
Full Name: kiran yadalam
Position: Engineer
Age: ON
Sex: Male
Address: 821 10th A main road indiranagar bangalore
Country: INDIA
Tel: 9980993684
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E-mail address: kiran.kiranky@gmail.com
Other E-mails: kiran_ky@hotmail.com
Title of the Paper: CURVELET TRANSFORM APPROACH APPLIED TO CLINICAL AND PRECLINICAL IMAGES AND ITS SIGNIFICANCE
Authors as they appear in the Paper: Y.Kirankumar
Email addresses of all the authors: kiran.kiranky@gmail.com
Number of paper pages: 11
Abstract: The fusion of medical images taken at the same slice/part of the body by different modalities is a very useful technique in medical diagnosis. Medical image fusion tried with wavelet transform methods proved to be image dependent and preservation of high frequency contents of the image by wavelets are also not satisfactory. In this work, curvelet transform is applied for fusion with two different fusion rules and the results are compared. The edges, singularities and other high frequency contents of the fused image are well represented by the curvelets. The fused result is better both by visual appearance and quantitative analysis than their wavelet equivalents tried with the same fusion rules. This work is also applied to PreClinical Images and curvelet , wavelet transform is analyzed in PreClinical Images. The transforms are quantatively compared for both Clinical and PreClinical Images.
Keywords: : ImageFusion, CurveletTransform, Wavelet Transform
EXTENSION of the file: .pdf
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