Mathematical Morphology and Its Applications to Image and Signal Processing (Computational Imaging and Vision)
| Author | : | |
| Rating | : | 4.85 (576 Votes) |
| Asin | : | 1461380634 |
| Format Type | : | paperback |
| Number of Pages | : | 476 Pages |
| Publish Date | : | 2017-09-30 |
| Language | : | English |
DESCRIPTION:
MM was initiated in the late 1960s by G. 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 Imageand 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. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry. Serra
Written from the experts A Customer 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.