Clustering Based Image Segmentation for Multi Resolution Images - M. Ganesh
-30% with code BOOKS
Shipping in 15-21 days
30-day return policy
Clustering is a process of classifying objects or patterns in such a way that the samples in the same group are more similar than the samples in different groups. Based on the fuzzy theory, the fuzzy clustering method, which produces the idea of partial membership of clustering. One of the most important and widely used fuzzy clustering methods is the Fuzzy C-Means (FCM) algorithm. The main purpose of the F ... Full description
You May Also Like
TOP
INCOSE Systems Engineering Handbook
-30% with code BOOKS
In stock at our supplier
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-30% with code BOOKS
In stock at our supplier
TOP
The Design of Everyday Things
-30% with code BOOKS
In stock at our supplier
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-30% with code BOOKS
In stock at our supplier
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-30% with code BOOKS
In stock at our supplier
TOP
We Are Not Machines: The Fight for the Future of Work
-30% with code BOOKS
In stock at our supplier
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-30% with code BOOKS
In stock at our supplier
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-30% with code BOOKS
In stock at our supplier
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-30% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-30% with code BOOKS
In stock at our supplier
TOP
Black Holes: The Key to Understanding the Universe
-30% with code BOOKS
In stock at our supplier
TOP
Practical Electronics for Inventors
-30% with code BOOKS
In stock at our supplier
TOP
Flowers For Algernon: A Modern Literary Classic
-30% with code BOOKS
In stock at our supplier
TOP
Human Compatible: Artificial Intelligence and the Problem of Control
-30% with code BOOKS
In stock at our supplier
TOP
How To Read Water: Clues & Patterns from Puddles to the Sea
-30% with code BOOKS
In stock at our supplier
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-30% with code BOOKS
In stock at our supplier
TOP
Mastering the Arduino Uno R4: Programming and Projects for the Minima and WiFi
-30% with code BOOKS
In stock at our supplier
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-30% with code BOOKS
In stock at our supplier
TOP
Foundation Design and Construction
-30% with code BOOKS
In stock at our supplier
Description
Clustering is a process of classifying objects or patterns in such a way that the samples in the same group are more similar than the samples in different groups. Based on the fuzzy theory, the fuzzy clustering method, which produces the idea of partial membership of clustering. One of the most important and widely used fuzzy clustering methods is the Fuzzy C-Means (FCM) algorithm. The main purpose of the FCM algorithm is to make the vector space of a sample point be divided into a number of sub-spaces in accordance with a distance measure. However, the FCM algorithm does not take the local spatial property of images into consideration, and hence suffers from high sensitivity to noise.Image segmentation plays a crucial role in many medical imaging applications also. Many algorithms and techniques have been developed to solve image segmentation problems. Spectral pattern is not sufficient in high resolution image for image segmentation due to variability of spectral and structural information.In order to further improve the segmentation performance and convergence speed for gray images corrupted by noise, a kernel version of GFCM with spatial information is proposed.
More Information
| Author | M. Ganesh |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2023 |
| Cover type | Softcover |
| EAN | 9786206159803 |