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(R) 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.