Digital Image Processing: Image Enhancement with Feature Extraction Using DWT and Surface Roughness Prediction Using Neutral Network - Syed Jahangir Badashah
-20% with code BOOKS
Shipping in 12-18 days
30-day return policy
In today¿s competitive world, the greatest method for a company to survive is to manufacture a high-quality and an excellence product. For producing of superior quality products they require of reliable calibration system. Surface Roughness has an extreme significant place in engineering field like performance, surface quality, significantly improves weariness strength, rust resistance, crawl life, resistan ... Full description
You May Also Like
TOP
INCOSE Systems Engineering Handbook
-20% with code BOOKS
In stock at our supplier
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-20% with code BOOKS
In stock at our supplier
TOP
The Design of Everyday Things
-20% with code BOOKS
In stock at our supplier
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-20% with code BOOKS
In stock at our supplier
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-20% with code BOOKS
In stock at our supplier
TOP
We Are Not Machines: The Fight for the Future of Work
-20% with code BOOKS
In stock at our supplier
TOP
Practical Electronics for Inventors
-20% with code BOOKS
In stock at our supplier
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-20% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-20% with code BOOKS
In stock at our supplier
TOP
Black Holes: The Key to Understanding the Universe
-20% with code BOOKS
In stock at our supplier
TOP
Flowers For Algernon: A Modern Literary Classic
-20% with code BOOKS
In stock at our supplier
TOP
Human Compatible: Artificial Intelligence and the Problem of Control
-20% with code BOOKS
In stock at our supplier
TOP
How To Read Water: Clues & Patterns from Puddles to the Sea
-20% 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
-20% with code BOOKS
In stock at our supplier
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-20% 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
-20% with code BOOKS
In stock at our supplier
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-20% with code BOOKS
In stock at our supplier
TOP
Foundation Design and Construction
-20% with code BOOKS
In stock at our supplier
Description
In today¿s competitive world, the greatest method for a company to survive is to manufacture a high-quality and an excellence product. For producing of superior quality products they require of reliable calibration system. Surface Roughness has an extreme significant place in engineering field like performance, surface quality, significantly improves weariness strength, rust resistance, crawl life, resistance, light reflection, wear and tear, capability of distributing and holding a lubricant, heat transmission, etc., of any machined part. Surface roughness can be evaluated in various methods. This work presents an automated, flexible predication and non-contact of surface roughness of milling and grinding parts, the machine vision scheme included by artificial neural network. The image processing is a computational intensive task used in various engineering fields. Surface roughness metrology, in image processing has become a challenging task with extensive applications in an industry. Machine vision for surface roughness is measurement of features in the metrology branch. In several research works, the use of machine vision, had shown benefit of non-contact and fast process.
More Information
| Author | Syed Jahangir Badashah |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2020 |
| Cover type | Softcover |
| EAN | 9786202555876 |