Image Segmentation: Principles, Techniques, and Applications Tao Lei 111985900X 9781119859000

Image Segmentation: Principles, Techniques, and Applications Tao Lei – Ebook Instant Download/Delivery ISBN(s): 9781119859031,1119859034

Product details:

• ISBN 10: 111985900X
• ISBN 13: 9781119859000
• Author: Tao Lei, Asoke K. Nandi

The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors―such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression―to assist graduate students and researchers apply and improve image segmentation in their work.

Table contents:

Part One: Principle

1. Introduction to Image Segmentation

2.  Principles of Clustering

3. Principles of Mathematical Morphology

4. Principles of Neural Network

Part Two: Methods

5. Fast and Robust Image Segmentation Using Clustering

6. Fast Image Segmentation Using Watershed Transform

7. Superpixel-based Fast Image Segmentation

Part Three:  Application

8. Image Segmentation for Traffic Scene Analysis

9. Image Segmentation for Medical Analysis

10. Image Segmentation for Remote Sensing Analysis

11. Image Segmentation for Material Analysis

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