| 000 | 01915 a2200301 4500 | ||
|---|---|---|---|
| 001 | 1420060163 | ||
| 005 | 20250317111606.0 | ||
| 008 | 250312042018xx eng | ||
| 020 | _a9781420060164 | ||
| 037 |
_bTaylor & Francis _cGBP 65.99 _fBB |
||
| 040 | _a01 | ||
| 041 | _aeng | ||
| 072 | 7 |
_aPHJ _2thema |
|
| 072 | 7 |
_aTHR _2thema |
|
| 072 | 7 |
_aPHJ _2bic |
|
| 072 | 7 |
_aTHR _2bic |
|
| 072 | 7 |
_aSCI053000 _2bisac |
|
| 072 | 7 |
_aTEC007000 _2bisac |
|
| 072 | 7 |
_aTEC019000 _2bisac |
|
| 072 | 7 |
_a621.366 _2bisac |
|
| 100 | 1 | _aHector J. Rabal | |
| 245 | 1 | 0 | _aDynamic Laser Speckle and Applications |
| 250 | _a1 | ||
| 260 |
_bCRC Press _c20181003 |
||
| 300 | _a282 p | ||
| 520 | _bSpeckle study constitutes a multidisciplinary area with inherent complexities. In order to conquer challenges such as the variability of samples and sensitive measurements, researchers must develop a theoretical and statistical understanding of both biological and non-biological metrology using dynamic speckle laser. Dynamic Laser Speckle and Applications discusses the main methodologies used to analyze biospeckle phenomena with a strong focus on experimentation. After establishing a theoretical background in both speckle and biospeckle, the book presents the main methodologies for statistical and image analysis. It then deals with the concept of frequency decomposition before moving on to a discussion of fuzzy methods to treat dynamic speckle data. The book dedicates two sections to applications, including agricultural approaches. Additional features include photo images of experiments and software to aid in easy start-up of dynamic speckle usage. A systematic approach to new dynamic speckle laser phenomena, this book provides the physical theory and statistical background needed to analyze images formed by laser illumination in biological and non-biological samples. | ||
| 700 | 1 |
_aRoberto A. Braga Jr. _4B01 |
|
| 999 |
_c4533 _d4533 |
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