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New Multifractal Techniques for Pattern Analysis in Biomedical Images

By Ibrahim, Musibau Adekunle

New Multifractal Techniques for Pattern Analysis in Biomedical Images

- Default Title
Description
This book develops and evaluates different multi-fractal techniques for detection, classification and analysis of medical images. Multi-fractal analysis has a better way of handling irregularities compared to the classical approach as it extracts information directly from the singularity, and the features obtained are used for the descriptions and analysis of the image patterns.The uniqueness about this book is that it uses multi-fractal as a tool for solving classification problems in biomedical images since the scaling properties of most natural images exhibit self-similarity properties that are very common in most medical diseases. This research work studies the structures of emphysema CT images and extracts the statistical self-similarity features characterized by the Holder exponent to develop new descriptors for pattern classification. The results achieved in the book could be very useful in academic environments, research institutes, and also to assist professionals in the field of medicine.
Product details
Binding:
Paperback
Number of Pages:
116
Release Date:
2025-10-31
Publication Date:
2025-10-31
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208884357
ISBN13:
9786208884352
GPSR Manufacturer Reference:
[email protected]
Weight:
191 g
Height:
150 cm
Width:
220 cm
Thickness:
7 cm
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