JSON Output

Process JSON Structure Output

The process call returns a JSON structure that represents the recipe output. Field explanation:

<LAYER NAME>: any layers that were added to the recipe
binary: the logical image that shows what was detected
<MEASUREMENT STAT>: statistic of any measurement that was added to the recipe. Example: "MeanCaliperDiameter" or "StdDevCaliperDiameter"
<MEASUREMENT_1 FEATURE MEASUREMENTS>: measurement of individual features in the detected image Example: "CaliperDiameter" or "MinimumDiameter"
scaleFactor: returns the scale factor in units micrometers/pixel
measurementUnits: returns the base unit of the measurement. Example: base unit: mm, diameters: mm. areas: mm^2, number density: features/mm^2. 
Messages: contains errors, warning and messages that the recipe returned during execution

For complete table of measurement units see: LINK

Example Output

{
    <LAYER NAME>: {
        "binary": [
            [
                <LOGICAL ARRAY OF ARRAYS>
            ]
        ],
        <MEASUREMENT STAT_1>: double
        <MEASUREMENT STAT_2>: double
        "featMeas": {
            <MEASUREMENT_1 FEATURE MEASUREMENTS>: [
                [
                   <DOUBLE ARRAY>
                ]
            ]
        }
    },
    "scaleFactor": double
    "measurementUnits": string
    "Messages": {
        "errors": [],
        "warnings": [],
        "messages": []
    }
}