CDN$ 169.34
Temporarily out of stock.
Order now and we'll deliver when available. We'll e-mail you with an estimated delivery date as soon as we have more information. Your account will only be charged when we ship the item.
Ships from and sold by Gift-wrap available.
Image Analysis in Earth S... has been added to your Cart
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 2 images

Image Analysis in Earth Sciences: Microstructures and Textures of Earth Materials Hardcover – Jul 4 2013

See all 3 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
"Please retry"
"Please retry"
CDN$ 169.34
CDN$ 125.87 CDN$ 224.14

Harry Potter and the Cursed Child
click to open popover

No Kindle device required. Download one of the Free Kindle apps to start reading Kindle books on your smartphone, tablet, and computer.
Getting the download link through email is temporarily not available. Please check back later.

  • Apple
  • Android
  • Windows Phone
  • Android

To get the free app, enter your mobile phone number.

Product Details

  • Hardcover: 520 pages
  • Publisher: Springer; 2014 edition (July 4 2013)
  • Language: English
  • ISBN-10: 3642103421
  • ISBN-13: 978-3642103421
  • Product Dimensions: 18.6 x 3.6 x 25.9 cm
  • Shipping Weight: 1.8 Kg
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #2,811,139 in Books (See Top 100 in Books)
  •  Would you like to update product info, give feedback on images, or tell us about a lower price?

  • See Complete Table of Contents

Product Description

From the Back Cover

Image Analysis in Earth Sciences is a graduate level textbook for researchers and students interested in the quantitative microstructure and texture analysis of earth materials. Methods of analysis and applications are introduced using carefully worked examples. The input images are typically derived from earth materials, acquired at a wide range of scales, through digital photography, light and electron microscopy. The book focuses on image acquisition, pre- and post-processing, on the extraction of objects (segmentation), the analysis of volumes and grain size distributions, on shape fabric analysis (particle and surface fabrics) and the analysis of the frequency domain (FFT and ACF). The last chapters are dedicated to the analysis of crystallographic fabrics and orientation imaging. Throughout the book the free software Image SXM is used.

About the Author

Professor Renée Heilbronner has many years of experience in the field of image analysis and has developed several software packages for microstructure analysis for grain size, shape and strain determinations. She has also developed the CIP method for crystallographic texture determinations and orientation imaging based on polarization microscopy and digital image processing. She has contributed to the development of the freeware image analysis software (Image SXM, former NIH Image), and is a member of a growing group of international image analysis experts who are setting up workshops and building a network for microstructure and texture research involving mathematicians, material scientists and geologists. As an experienced teacher of image analysis at different levels ranging from general introductory courses to specialized texture workshops, she has taught at various universities all over the world.


Dr Steve Barrett is the author of the internationally renowned image analysis software Image SXM. He has been developing the software continuously over the past two decades, from its origins as a spin-off from the freeware NIH Image, to the extensions that allow it to handle images from over fifty types of optical and scanning microscopes. A customized version of this software (PrinCIPia) based on the CIP method can handle the calculation, display, analysis and manipulation of images representing the crystallographic orientation of grains in rock samples imaged by polarizing microscopes. He has published widely in the field of nanoscience and has also collaborated with medics to create microscopy image analysis software for medical applications (MIASMA). He has over twenty years experience teaching to undergraduates and postgraduates.

Customer Reviews

There are no customer reviews yet.
5 star
4 star
3 star
2 star
1 star