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Because the convenience in using a camera is largely determined by the computer platform and software, it is very important to examine the acquisition-processinganalysis software. The software used to demonstrate a camera may not be the most convenient. Whatever the selection, the software must have an extension called a camera driver, which is required to operate a particular camera. Is the image acquisition menu convenient and easy to use, and does it control the basic parameters of exposure time, binning, and gain Is basic image processing available (histogram adjustment, gamma scaling, contrast, sharpening adjustments) and are these easy to use Is basic image analysis available (segmentation, data extraction, particle counts, measurements of shapes and geometric parameters) and are these easy to use Does the software allow you to write customized scripts that might be needed for special automated acquisition-processing-analysis operations Can images be saved in TIFF, PICT, and other universal file formats so images can be imported into other programs like Photoshop for further processing and printing

Figure 3-2 Detailed spectra of arc and tungsten filament lamps. (a) Mercury arc lamp. A continuous spectrum in the visible range is superimposed with bright emission lines, of which the most useful are at 366, 405, 435, 546, and 578 nm. Significant emission occurs in the UV (below 400 nm) and IR portions of the spectrum (not shown). (b) Xenon arc lamp. In the visible range, this lamp produces a continuous spectrum without major emission lines. Emission is significant in the UV and very large in the infrared. (c) Quartz halogen tungsten filament lamp. Much of the radiation is in the infrared range. Intensity increases and the peak of radiation intensity shifts to lower visible wavelengths as voltage is increased.

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EXAMPLE: Bob and Betty Buyer are buying a home from Suzy Seller for $125,000. The Buyers have saved carefully for a number of years and now have $18,750 that they can use as a respectable 15 percent down payment. They believe they ve obtained a reasonable price, and, most important, the house meets their special needs. Betty is a free-lance writer and needs an extra room that could be converted to an off ice. Bob is an artist and needs a scenic place to paint. The backyard of the house abuts a small river, which Bob will use for much of his work. The local bank recently changed its loan policy and will now f inance a house purchase up to only 80 percent of appraised value. The appraiser hired by the bank values the home at only $112,000; apparently he doesn t have the artistic appreciation of Bob and Betty. Based on this value, the bank will lend the Buyers only $89,600. The Buyers are thus coming up short of the purchase price for their dream house. Enter seller f inancing. Ready to close on the deal with Suzy Seller, the Buyers suddenly f ind themselves short on the down payment a big disappointment after they had saved and planned so carefully. They need an additional $16,650 [$125,000 purchase price ($18,750 down payment + $89,600 bank f inancing)]. If Suzy can be persuaded to take a $16,650 second mortgage, they can close the deal. A second mortgage means the bank s mortgage, which is a f irst mortgage, gets paid off f irst if the Buyers default and the house is foreclosed on.

by R and is embedded along with T within F. And finally, a value for volatility, V, is also a vital consideration now. Thus, we might now write an equation for a call s value to be Call value F K V.

the RE/MAX story because we believe that its lessons can be applied widely in work and in life to great benefit.

:rule r4 rule block 2 (goal Writes out fuzzy sets) IF (in Region rnum = <N>) THEN write Fuzzy sets for region <N>:\n , prmem 1 rnum size xpos ypos ; : -----------------------------------------------------:Block 3 - writes preliminary classifications to screen :rule r5 rule block 3 (goal Writes preliminary classifications to screen) IF (in Region frame = <FR> AND rnum = <N>) THEN write Preliminary classifications for frame <FR> region <N>:\n , prmem 1 rnum class ; : -----------------------------------------------------:Block 4 - commences resolution of contradictions :The following rules reduce confidences, using nonmonotonic logic. :Fuzzy set memberships are modified directly. This overrides the Fuzzy Truth :Maintenance System, and permits setting memberships to any value. :rule r6 rule block 4 (goal Rule out LA+LV if both LV and LA+LV and also LA) IF (in Region frame = <FR> AND rnum = <N1> AND class is LV AND class is LA+LV) (in Region frame = <FR> AND rnum = <N2> AND rnum <> <N1> AND class is LA) THEN reset, write Frame <FR> Region <N1> - Ruling out LA+LV in favor of LV and LA\n , in 1 class is LA+LV = 0 ; :rule r7 rule block 4 (goal Rule out RA+RV if both RV and RA+RV and also RA)

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