Image Analysis and Mathematical Morphology

  title={Image Analysis and Mathematical Morphology},
  author={Jean Paul Fr{\'e}d{\'e}ric Serra},
Image Processing and Mathematical Morphology-Frank Y. Shih 2009-03-23 In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition. Those working in these ever-evolving fields require a solid grasp of basic fundamentals, theory, and related applications—and few books can provide the unique tools… 

Morphological algorithms for color images based on a generic-programming approach

In this paper, the extension of mathematical morphology to color images by treating multi-channel data as vectors is presented and basic vector morphological algorithms are introduced based on reduced ordering.

Chapter 2. Morphological Image Analysis for Computer Vision Applications

It is shown how the tasks of change detection and shape matching in images can be solved using a morphological image analysis and the projective morphology as a generalized framework based on the mathematical morphology and the morphed image analysis provides fast and efficient solutions of morphological segmentation problem in complex images.

Learning-based mathematical morphology in color image processing

This thesis mainly focuses on extending the existing basic morphological opera and their applications into color image processing area, by incorporating supervu >d and unsupervised learning techniques.

Vision-Based Change Detection Using Comparative Morphology

This chapter proposes the new scheme of Comparative Morphology (CM) as a generalization of the Morphological Image Analysis (MIA) scheme originally proposed by Pyt’ev, and addresses the theoretical and practical aspects of the scene change detection problem with the use of computer vision techniques.


In several domains of image analysis, mathematical morphology plays a very crucial role. It was a concept that evolved in France in sixties. This theory has received little attention since then but

Image Processing Handbook, Fourth Edition

This revision of the established standard acts as a singular resource for professionals in the medical, biological, and materials sciences as well as a range of engineering venues, including electrical and computer engineering, optical engineering, telecommunications, and artificial intelligence.

A Study on Implementation of Advanced Morphological Operations

Mathematical morphology stresses the role of shape in image pre-processing, segmentation, and object description. It constitutes a set of tools that have solid mathematical background and lead to

Morphological operations in image processing and analysis

Basic morphological operations are reviewed, algorithms and theorems are presented for solving problems in distance transformation, skeletonization, recognition, and nonlinear filtering, and the idempotence property gives the idea of how to choose the structuring element sets and the value of index such that the soft morphological filters will reach the root signals without iterations.

Pyramidal Image Processing Using Morphology

This paper proposes the use of morphological filtering technique for a nonlinear pyramidal image processing (NPIP), a form of multiresolution analysis in which a primary image is decomposed into a set of different resolution copies.

Tutorial On Advances In Morphological Image Processing And Analysis

In theory, the represen-tation of a large class of translation-invariant nonlinear filters (including morphological, median, order-statistics, and shape recognition filters) are summarized as a minimal combination of morphological erosions or dilations, which provide new realizations of these filters and lead to a unified image alge-bra.