How Long to Read Fuzzy Image Processing and Applications with MATLAB

How Long Does it Take to Read Fuzzy Image Processing and Applications with MATLAB?

It takes the average reader 4 hours and 3 minutes to read Fuzzy Image Processing and Applications with MATLAB by Tamalika Chaira

Assuming a reading speed of 250 words per minute. Learn more

Description

In contrast to classical image analysis methods that employ "crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge. Fuzzy Image Processing and Applications with MATLAB® presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging, and video surveillance, to name a few. Many texts cover the use of crisp sets, but this book stands apart by exploring the explosion of interest and significant growth in fuzzy set image processing. The distinguished authors clearly lay out theoretical concepts and applications of fuzzy set theory and their impact on areas such as enhancement, segmentation, filtering, edge detection, content-based image retrieval, pattern recognition, and clustering. They describe all components of fuzzy, detailing preprocessing, threshold detection, and match-based segmentation. Minimize Processing Errors Using Dynamic Fuzzy Set Theory This book serves as a primer on MATLAB and demonstrates how to implement it in fuzzy image processing methods. It illustrates how the code can be used to improve calculations that help prevent or deal with imprecision—whether it is in the grey level of the image, geometry of an object, definition of an object’s edges or boundaries, or in knowledge representation, object recognition, or image interpretation. The text addresses these considerations by applying fuzzy set theory to image thresholding, segmentation, edge detection, enhancement, clustering, color retrieval, clustering in pattern recognition, and other image processing operations. Highlighting key ideas, the authors present the experimental results of their own new fuzzy approaches and those suggested by different authors, offering data and insights that will be useful to teachers, scientists, and engineers, among others.

How long is Fuzzy Image Processing and Applications with MATLAB?

Fuzzy Image Processing and Applications with MATLAB by Tamalika Chaira is 237 pages long, and a total of 60,909 words.

This makes it 80% the length of the average book. It also has 74% more words than the average book.

How Long Does it Take to Read Fuzzy Image Processing and Applications with MATLAB Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 32 minutes to read Fuzzy Image Processing and Applications with MATLAB aloud.

What Reading Level is Fuzzy Image Processing and Applications with MATLAB?

Fuzzy Image Processing and Applications with MATLAB is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Fuzzy Image Processing and Applications with MATLAB?

Fuzzy Image Processing and Applications with MATLAB by Tamalika Chaira is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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