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The WinFOLIA Software Program
Available in Three Versions: Basic, Regular & Pro
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| WinFOLIA Basic is our entry level low cost solution for leaf analysis. This version mimics the functionality of portable leaf area meters. It measures the leaf area, length and width in a simple manner as done with those devices (in the horizontal and vertical directions), perimeter, holes area and some other measurements (see table next).
WinFOLIA Regular has all the Basic version’s measurements plus some morphological measurements that are specific to leaves. For example, it can differentiate the blade from the petiole so that you can choose to have the petiole included or not in the measurements of area and length. It can measure width in more different ways and lobe angles also. This version also has more features like the possibility of adding observations, doing user defined interactive measurements and a few more.
WinFOLIA Pro has all the Regular version’s measurements plus some extended morphological measurements (such as Fractals) some of which are specific to leaves (envelope, teeth...). This version also has color analysis that can be used for disease, necrosis and insect damage quantification. It allows you to choose the region of the image to analyse as well.
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Measurements per WinFOLIA Software Version
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| Features per WinFOLIA software version |
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| Image edition allows to modify the image content to remove artifacts, debris or, as illustrated below, to fill in holes. You can choose the color to edit with by picking a color already present in the image or define your own. |
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| In this example a damaged leaf boundary is closed with image edition using the pen tool so that holes on its edge can be measured automatically by WinFOLIA. |
In this example a damaged leaf area is filled in brown using image edition with the brush tool (a lasso is also available). Drawing a region the same color as the leaf allows to include it in leaf area while drawing it a different color allows to measure it in the holes or background area. |
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These measurements are explained in surrounding paragraphs |
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•An observation is a mean of adding measurements not programmed in WinFOLIA or to indicate irregularities observed during measurement. A simple observation could be something like: Is Damaged.
•Although WinFOLIA is optimised for leaves, it can also analyse the area and shape of other objects such as foliar disks. For morphology or color analyses of generic objects (other than leaves) see our WinCAM program.
•Debris filtering is available to prevent small particles, such as dust, from being considered as leaves during automatic analyses. Objects with an area larger or smaller than specified values can be removed from the analysis.
•Batch acquisition optimizes speed and minimizes operator intervention during the image acquisition process. Batch analysis allows to analyse series of images without operator supervision. Note: Not all measurements can be done in batch.
•View during the analysis the leaf area (or other morphological parameters) distribution into classes that you choose in a graphic above the image. You can also view the color area distribution (Pro version).
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•Background light variations occur when lighting is not uniform, a problem that is encountered with camera based images not with scanners. These variations can cause some wrong pixels classifications. A function is provided to minimise or eliminate them but is effective in laboratory situations. It is more efficient and better to eliminate light variations using proper lighting techniques during image acquisition.
•The Pixels classification is the separation of image pixels (picture elements) into the leaf and background groups (a prerequisite for accurate measurements). This process can be done automatically (with user validation using different methods in function of the WinFOLIA version) or manually. If there are wrong classifications in some image areas, the operator can override it interactively by first selecting that area (outlining it) and changing the classification parameters.
•Some features can be more easily detectable (have higher contrasts) in a specific color channel (Red, Green or Blue) of a color image. This channel, rather than all of them, can then be used to make the pixels classification and the measurements.
•The possibility of analysing only a part of the images adds flexibility (Pro version). It allows to select specific regions of interest to be analysed and to ensure that only leaves are analysed (no debris, text written close to leaves or objects other than leaves). These regions can have any shape (circular, rectangular or any irregular shape made with the lasso tool). Similarly, you can define regions to be excluded from the analysis. Analysed and exclusion regions can be resized, moved and recreated (to analyse the same region over time or for different images.
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