(default value in bold)
|minimum signal %||Blob detection||3 5 10 20 30 35 40 50 60 70 75 80 90 95 99||SpotsDetector class>>#minimumSignalIntensity:|
|background %||Blob detection||3 5 10 20 30 40 50 60 70 75 80 90 95 99||SpotsDetector class>>#backgroundPercent:|
|distribution||Blob detection||0 none,1 linear,2 x*x,3 x*x*x||SpotsDetector class>>#distributionIndex|
|MAF: minimum area factor||Blob detection||50 only big points are valid|
75 100 200 300 500 750 1000
10000 small points are valid
|levels of watermarking||Blob detection||3 less presition and faster|
5 7 10 15 17 20 25 30
more time and resources 50
|signal enhancement||Blot detection and preparation||none smooth verticalSmooth||BlotDetector class>>#enhancement|
|minimum signal %||When the pixels of the image are scanned for spots detection, the lighter pixels are not analyzed and considered "the background". This threshold has a default value in 35% of black. |
Bigger % values let you exclude from processing dark pixels. Big values can be used for dark images (with blind/flash spots).
Smaller values increase sencibility to light pixels and can be used for "washed images".
|background %||The background is detected computing the ligher colors in the image. Th epixels that covers at least the "background%" of the image are considered background and are not considered in spot detection.|
|distribution||The image is analyzed cutting the signal map in slides (shashimi) and building contours. The interval at wich the signals are cut can be defined by a function.|
The best known function for shashimi y simply cutting at regular intervals, but it can be changed for beter results (using curves) if the images is known to have high saturation.
|MAF: minimum area factor||Detected spots with an area below MAF will be disabled automatically.|
By default a value of 200 force the spots of <0.5% of image extent to be disabled.
This parameter limits the spots that will be considered noise or dust in image.
|levels of watermarking|| During shashimi process the image is cutted in slices. The number of slices is defined by this parameter.|
A value of 10 is an empirical optimum. This parameter defines also the perfomance (resources and time spent) of spot detection process.
|signal enhancement||All Dye detectors can perform a pre-processing effect during image preparation.|
The default enhancement is vertical smoothing to reduce noise.
It is not recommended to change this parameter.