Fuzzy Image Processing and Applications with MATLAB (Record no. 4945)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02927 a2200325 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1351834215 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317111611.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042017xx 211 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781351834216 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 52.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TJF |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | THR |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TJF |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | THR |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC007000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC008000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC015000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 621.367015113223 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Tamalika Chaira |
| 245 10 - TITLE STATEMENT | |
| Title | Fuzzy Image Processing and Applications with MATLAB |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 20171219 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 240 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | 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. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ajoy Kumar Ray |
| Relationship | A01 |
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