| Description |
1 online resource |
| Series |
Studies in computational intelligence ; v. 876 |
|
Studies in computational intelligence ; 876.
|
| Contents |
Adaptive Edge Detection Models and Algorithms -- Swarm Methods of Image Segmentation -- Spatio-temporal Data Interpretation Based on Perceptional Model -- Spatio-Temporal Video Segmentation |
| Summary |
This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole. This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval |
| Subject |
Image segmentation.
|
|
Image segmentation
|
| Form |
Electronic book
|
| Author |
Mashtalir, Vladimir, e editor
|
|
Ruban, Igor, e editor
|
|
Levashenko, V. G., e editor.
|
| ISBN |
9783030354800 |
|
3030354806 |
|
9783030354817 |
|
3030354814 |
|
9783030354824 |
|
3030354822 |
|
