Fundamentals of Digital Image Processing

Dandak Kaniyar

Sinopsis

"Fundamentals of Digital Image Processing" is a comprehensive guide that delves into the intricacies of manipulating and analyzing digital images. We provide a thorough exploration of fundamental concepts, techniques, and applications in digital image processing. Catering to both beginners and seasoned professionals, the content spans a wide spectrum.
Starting with the basics, we introduce core principles of digital image representation, pixel operations, and color models. We then progress into advanced topics such as image enhancement, filtering, and transformation, offering a deep understanding of the algorithms involved.
The book covers image segmentation, a crucial aspect of image analysis, discussing various segmentation techniques and their applications in fields like medical imaging, computer vision, and pattern recognition. We also address the evolving field of image compression, highlighting methods to reduce image size without compromising essential information.
One notable strength is our practical approach, integrating theory with hands-on examples and real-world applications. We equip readers with tools to implement image processing algorithms using popular programming languages and software. Case studies illustrate digital image processing's impact in diverse fields, including medicine, remote sensing, and multimedia.
"Fundamentals of Digital Image Processing" is an indispensable resource for academics, researchers, and practitioners, offering theoretical knowledge and practical insights.

Disponible desde: 20/02/2025.

Longitud de impresión: 265 páginas.

Ciencia y tecnología

Otros libros que te pueden interesar

Deep Learning for Finance -...

Sofien Kaabar

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. 
 
 
 
Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. 
 
 
 
This book will help you to understand and create machine learning and deep learning models; explore the details behind reinforcement learning and see how it's used in time series; understand how to interpret performance evaluation metrics; examine technical analysis and learn how it works in financial markets; create technical indicators in Python and combine them with ML models for optimization; and evaluate the models' profitability and predictability to understand their limitations and potential.

Ver libro

Introduction to Artificial...

Ruchini Kaushalya

**Unlock the Power of Artificial Intelligence: Your Ultimate Guide** 
Feeling overwhelmed by AI? Struggling to grasp its potential? "Introduction to Artificial Intelligence - A Comprehensive Guide" is here to help! This audiobook demystifies AI, making it accessible to everyone, regardless of technical background.  
**Benefits:** 
1. **Clarity:** Understand AI with easy-to-digest explanations. 
2. **Applications:** Discover how AI revolutionizes industries like healthcare, finance, and marketing. 
3. **Empowerment:** Make informed decisions about AI adoption in your projects. 
4. **Problem-Solving:** Use AI algorithms to tackle real-world problems. 
5. **Career Boost:** Acquire in-demand AI skills to advance your career. 
6. **Future-Proofing:** Stay relevant in an evolving technological landscape. 
Don't let confusion hold you back. Embrace AI with confidence. Click "Buy Now" and transform your life and career with the ultimate AI guide. Act now!

Ver libro

The AI Marketing Revolution Book...

Vitalij Kolotikov

Revolutionize your marketing strategies and outperform traditional practices with the power of AI. Elevate your marketing game and achieve unprecedented success with "The AI Marketing Revolution," a comprehensive 420-page guide by Vitalij Kolotikov. This book has been successfully adopted by libraries of leading universities in London, Paris, and Riga, making it an essential resource for students and professionals. 
Whether you're an entrepreneur or a student aiming to master both traditional and AI-driven marketing strategies, this book provides you with the knowledge and tools to optimize your marketing efforts, increase sales, and secure your dream job as a marketing expert. Discover how to leverage AI to transform your marketing landscape and stay ahead in an ever-evolving digital world.

Ver libro

Mathematical Finance

Introbooks Team

To Take good decisions to not to face uncertainty, mathematical finance, helps quite a lot. Building on the mathematical models of bonds and the stocks prices, simulation theories for mathematical financing vary with leads in different directions: Black–Scholes arbitrage pricing of options is one of the significant revealing theories used extensively in mathematical financing research and studies. Markowitz portfolio optimization for a Capital Asset Pricing modeling is another crucial research target. 
Interest rates and the terms structure can be best understood with the principle of no arbitrage. Mathematical finance is best studied with all these three essentials explained. The modern financial markets are operating this way. There is enormous impact, of mathematical finance modeling in the business management and business economics.

Ver libro

On the Future - Prospects for...

Martin Rees

This audiobook narrated by Martin Rees and Samuel West offers a provocative and inspiring look at the future of humanity and science

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes—good and bad—are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and bestselling author Martin Rees argues that humanity's prospects depend on our taking a very different approach to planning for tomorrow.

The future of humanity is bound to the future of science and hinges on how successfully we harness technological advances to address our challenges. If we are to use science to solve our problems while avoiding its dystopian risks, we must think rationally, globally, collectively, and optimistically about the long term. Advances in biotechnology, cybertechnology, robotics, and artificial intelligence—if pursued and applied wisely—could empower us to boost the developing and developed world and overcome the threats humanity faces on Earth, from climate change to nuclear war. At the same time, further advances in space science will allow humans to explore the solar system and beyond with robots and AI. But there is no "Plan B" for Earth—no viable alternative within reach if we do not care for our home planet.

Rich with fascinating insights into cutting-edge science and technology, this accessible book will captivate anyone who wants to understand the critical issues that will define the future of humanity on Earth and beyond.

Ver libro

A History of the Warfare of...

Andrew Dickson White

This recording has been digitally produced by DeepZen Limited, using a synthesized version of an audiobook narrator’s voice under license. DeepZen uses Emotive Speech Technology to create digital narrations that offer a similar listening experience to human narration.  
 
"A History of the Warfare of Science with Theology in Christendom" by Andrew Dickson White is a seminal two-volume work that delves into the prolonged struggle between science and religious orthodoxy throughout Western history. White, co-founder and first president of Cornell University, provides a comprehensive account of how religious dogma frequently stood in opposition to scientific advancements, from the age of Galileo to Darwinian evolution. He posits that this clash hindered intellectual progress and societal development, but also acknowledges the instances where religion fostered the growth of scientific understanding. Through detailed historical analysis, White underscores the necessity of maintaining a clear separation between theological beliefs and empirical investigation for the unhindered progress of knowledge.

Ver libro