Mathematical Morphology and Its Applications to Image and Signal Processing (Computational Imaging and Vision) | 
 enlarge | Creators: Petros Maragos, Ronald W. Schafer, Muhammad Akmal Butt
Publisher: Springer
Category: Book
Buy New: $336.00
New (2) Used (4) from $107.86
Rating:  1 reviews
Sales Rank: 3765908
Media: Hardcover
Edition: 1
Pages: 488
Number Of Items: 1
Shipping Weight (lbs): 1.8
Dimensions (in): 9.3 x 6.4 x 1.5
ISBN: 0792397339
Dewey Decimal Number: 006.420151
EAN: 9780792397335
Publication Date: May 31, 1996
Availability: Usually ships in 4 to 7 weeks
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| Editorial Reviews:
Product Description
Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry.
MM was initiated in the late 1960s by G. Matheron and J. Serra at the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency, easy implementability on special hardware, and suitability for many shape- oriented problems have propelled its widespread diffusion and adoption by many academic and industry groups in many countries as one among the dominant image analysis methodologies.
The purpose of Mathematical Morphology and its Applications to Image and Signal Processing is to provide the image analysis community with a sampling from the current developments in the theoretical (deterministic and stochastic) and computational aspects of MM and its applications to image and signal processing. The book consists of the papers presented at the ISMM'96 grouped into the following themes: - Theory
- Connectivity
- Filtering
- Nonlinear System Related to Morphology
- Algorithms/Architectures
- Granulometries, Texture
- Segmentation
- Image Sequence Analysis
- Learning
- Document Analysis
- Applications
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| Customer Reviews:
Written from the experts June 19, 2000
1 out of 1 found this review helpful
This collection of papers is the best way to approach this field of nonlinear science. The selection of papers is very well processed by the editors. All of them are the pioneers on the nonlinear signal processing and present the basic principles of the theory without giving emphasis to secondary details.
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