Hands-on Morphological Image Processing

Hands-on Morphological Image Processing by Edward R. Dougherty and Roberto A. Lotufo Morphological image processing, now a standard part of the imaging scientist's toolbox, can be applied to a wide range of industrial applications. Concentrating on applications, this book shows how to analyze a problem and then develop successful algorithms based on the analysis. The book is hands-on in a very real sense: readers can download a demonstration toolbox of techniques and images from the web so they can process the images according to examples in the text. Table of Contents ia870p3 at GitHub Here you can see the documentation with examples of the most functions described in the book Toolbox used in the book The Hands-on Toolbox contains the data and how most figures of the book were built Figures of the book written in Python SPIE PRESS Vol. TT59 * July 2003 290 pages * Softcover * 0-8194-4720-X

Frequently Asked Questions

• Q1 - In Fig. 4.9 there are 15 cycles of pruning but 45 (3 times more) iterations of geodesic dilation. Why is that?
• A1 - In each cycle, the template is rotated 8 times in 45-degree step. In each cycle, three pixels are pruned as normaly three templates in each cycle match the end-point hit-or-miss template.

Typos

• Page 4: Last line in example 1.1, missing ")"
• Page 36, Fig. 2.14: missing (a)-(f) identification
• Page 117, Fig. 5.24: missing ")" in "dil(neg(f))"
• Page 125, Fig. 5.35: mmdil: bounded gray-scale dilation
• Page 184, Fig. 7.21: mmhmin: h-minima (Eq. 6.27)