Calibration

Calibration is a special method that coordinates the imported raster image with the vector drawing thus ensuring the possibility of specifying real distances, areas or angles in the raster image.

When an imported raster image can be coordinated with the drawing (e.g. a general map), the true-to-scale size of the drawing can be configured by linear calibration. Linear calibration enables the setting of a certain scale to establish a proportional relationship between the pixels of the raster image and the drawing area (and its coordinates) of ARCHLine.XP. When the scale set for calibration matches the true scale, you can work in true scale (1:1) in the raster image as well. It means that each vector graphics operation, editing or query is performed by the program in true scale from the user’s point of view; however the configuration of the size depends on the background.

Choose one of the following methods:

Calibrate

True-to-scale configuration of the image.
1. Select the image.
2. Click on two reference points.
3. Specify the real world distance between the points.

Calibrate - graphic

With the true-to-size graphic input, the program resizes the image to fit proportionally and rotates it in the right direction.
1. Specify the starting point of a vector on the image.
2. Enter the end point of the vector on the image.
3. Enter the new location of the starting point.
4. Enter the new location of the endpoint.

Calibrate image - by approximation

The command scales the raster image by taking multiple distances.
1. Enter the first point for calibration.
2. Enter the second point.
3. Enter the distance between the two points.
4x. Enter the next pair of points.
5. Hit Enter to finish input.

The Calibration dialog box appears, indicating the average square error for all and the distances used.
The error is equal to the difference between the expected and the entered value and is displayed next to each specified distance.

You can calibrate up to 100 distances in the raster image, and you can exclude values with big error value.
Thus, the average square error can be reduced.
The more distance you specify, the more accurate the calibration will be.