Investigating the Effectiveness of Wavelet Approximations in Resizing Images for Ultrasound Image Classification.

Abstract:

:Images are difficult to classify and annotate but the availability of digital image databases creates a constant demand for tools that automatically analyze image content and describe it with either a category or a set of variables. Ultrasound Imaging is very popular and is widely used to see the internal organ(s) condition of the patient. The main target of this research is to develop a robust image processing techniques for a better and more accurate medical image retrieval and categorization. This paper looks at an alternative to feature extraction for image classification such as image resizing technique. A new mean for image resizing using wavelet transform is proposed. Results, using real medical images, have shown the effectiveness of the proposed technique for classification task comparing to bi-cubic interpolation and feature extraction.

journal_name

J Med Syst

authors

Manzoor U,Nefti S,Ferdinando M

doi

10.1007/s10916-016-0573-7

subject

Has Abstract

pub_date

2016-10-01 00:00:00

pages

221

issue

10

eissn

0148-5598

issn

1573-689X

pii

10.1007/s10916-016-0573-7

journal_volume

40

pub_type

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