14  Analyzing images

14.1  Laying out a measurement tool

14.1.1   General

You can lay out one or more measurement tools on an image, e.g., a spotmeter, an area, a circle, or a line.

14.1.2   Procedure

14.2  Moving a measurement tool

14.2.1   General

Measurement tools that you have laid out on an image can be moved around, using the selection tool.

14.2.2   Procedure

14.3  Resizing a measurement tool

14.3.1   General

Measurement tools that you have laid out on an image, e.g., an area, can be resized using the selection tool.

14.3.2   Procedure

14.4  Deleting a measurement tool

14.4.1   General

You can delete any measurement tools that you have laid out on an image.

14.4.2   Procedure

14.5  Creating local markers for a measurement tool

14.5.1   General

When images are imported from the camera to FLIR Tools, the program will respect any existing markers for a measurement tool in the image. However, sometimes you may want to add a marker when analyzing the image in FLIR Tools: you do this by using local markers.

14.5.2   Procedure

14.6  Setting local parameters for a measurement tool

14.6.1   General

In some situations you may want to change a measurement parameter for one measurement tool only. The reason for this could be that the measurement tool is in front of a significantly more reflective surface than other surfaces in the image, or over an object that is further away than the rest of the objects in the image, and so on.
For more information about object parameters, see section 24 Thermographic measurement techniques .

14.6.2   Procedure

14.7  Working with isotherms

14.7.1   General

The isotherm command applies a contrasting color to all pixels with a temperature above, below, or between one or more set temperature levels.
Using isotherms is a good method to easily discover anomalies in an infrared image.

14.7.2  Setting up general isotherms ( Above , Below )

14.7.2.1   General

An isotherm of the type Above and Below will colorize areas with a temperature above or below a set temperature.

14.7.2.2   Procedure

14.7.3  Setting up general isotherms (Interval)

14.7.3.1   General

An isotherm of the type Interval will colorize areas with a temperature between two set temperatures.

14.7.3.2   Procedure

14.7.4  Setting up a humidity isotherm

14.7.4.1   General

The humidity isotherm can detect areas where there is a risk of mold growing, or where there is a risk of the humidity falling out as liquid water (i.e., the dew point).

14.7.4.2   Procedure

14.7.5  Setting up an insulation isotherm

14.7.5.1   General

The insulation isotherm can detect areas where there may be an insulation deficiency in the building. It will trigger when the insulation level falls below a preset value of the energy leakage through the building structure—the so-called thermal index.
Different building codes recommend different values for the thermal index, but typical values are 0.6–0.8 for new buildings. Refer to your national building code for recommendations.

14.7.5.2   Procedure

14.7.6  Setting up a custom isotherm

14.7.6.1   General

A custom isotherm is an isotherm of any of the following types:
  • Above .
  • Below .
  • Interval .
  • Humidity .
  • Insulation .
For these custom isotherms, you can specify a number of different parameters manually, compared with using the standard isotherms:
  • Background .
  • Colors (semi-transparent or solid colors).
  • Inverted color (for the Interval isotherm only).

14.7.6.2   Procedure

14.8  Changing the temperature levels

14.8.1   General

At the bottom of the infrared image you will see two sliders. By dragging these sliders to the left or to the right you can change the top and bottom levels in the temperature scale.

14.8.2  Why change temperature levels?

The reason to change the temperature levels manually is that it makes it easier to analyze a temperature anomaly.

14.8.2.1  Example 1

Here are two infrared images of a building. In the left image, which is auto-adjusted, the large temperature span between the clear sky and the heated building makes a correct analysis difficult. You can analyze the building in more detail if you change the temperature scale to values close to the temperature of the building.
Graphic
Automatic
Graphic
Manual

14.8.2.2  Example 2

Here are two infrared images of an isolator in a power line. To make it easier to analyze the temperature variations in the isolator, the temperature in the right image has been changed to values close to the temperature of the isolator.
Graphic
Automatic
Graphic
Manual

14.8.3  Changing the top level

14.8.4  Changing the bottom level

14.8.5  Changing both the top and bottom levels at the same time

14.9  Auto-adjusting an image

14.9.1   General

You can auto-adjust an image or a group of images. When you auto-adjust an image you adjust it for the best image brightness and contrast. This means that the color information is distributed over the existing temperatures of the image.

14.9.2   Procedure

14.10  Defining an auto-adjust region

14.10.1   General

When you click the temperature scale or the Auto button in the image window, the whole image is auto-adjusted. This means that the color information is distributed over the temperatures in the image.
However, in some situations the still image or the video image may contain very hot or cold areas outside your area of interest. In such cases you will want to exclude those areas and use the color information only for the temperatures in your area of interest. You can do so by defining an auto-adjust region.

14.10.2   Procedure

14.11  Changing the color distribution

14.11.1   General

You can change the distribution of colors in an image. A different color distribution can make it easier to analyze the image more thoroughly.

14.11.2  Definitions

You can choose from three different color distributions:
  • Histogram equalization: This is an image-displaying method that distributes the color information over the existing temperatures of the image. This method of distributing the information can be particularly successful when the image contains few peaks at very high temperature values.
  • Signal linear: This is an image-displaying method where the color information in the image is distributed linearly to the signal values of the pixels.
  • Temperature linear: This is an image-displaying method where the color information in the image is distributed linearly to the temperature values of the pixels.

14.11.3   Procedure

14.12  Changing the palette

14.12.1   General

You can change the palette that the camera uses to display the different temperatures within an image. A different palette can make it easier to analyze the image.

14.12.2   Procedure

14.13  Changing the image mode

14.13.1   General

For some images you can change the image mode. You do this on the toolbar in the image-editing window.

14.13.2  Types of image modes

Button

Image mode

Image example

icon
Thermal MSX (Multi Spectral Dynamic Imaging): This mode displays an infrared image where the edges of the objects are enhanced. Note that the label for each fuse is clearly legible.
Graphic
icon
Thermal : This mode displays a fully infrared image.
Graphic
icon
Thermal fusion : This mode displays a digital photo where some parts are displayed in infrared, depending on the temperature limits.
Graphic
icon
Picture-in-picture : This mode displays an infrared image frame on top of a digital photo.
Graphic
icon
Digital camera : This mode displays a fully digital photo.
Graphic

14.14  Exporting to CSV

14.14.1   General

You can export the content of an image as a matrix of comma-separated values for further analysis in external software. The file format is *.csv, and the file can be opened in Microsoft Excel.

14.14.2   Procedure

14.15  Creating a plot

14.15.1   General

When FLIR Tools/Tools+ is connected to a camera that supports radiometric streaming, you can create a plot. A plot displays how the results of one or several measurement tools vary over time.

14.15.2   Procedure

14.16  Calculating areas

14.16.1   General

The distance included in the image parameter data can be used as the basis for area calculations. A typical application is to estimate the size of a damp stain on a wall.
To calculate the area of a surface, you need to add a box or circle measurement tool to the image. FLIR Tools/Tools+ calculates the area of the surface enclosed by the box or circle tool. The calculation is an estimate of the surface area, based on the distance value.

14.16.1.1   Procedure

Follow this procedure:

14.17  Calculating lengths

14.17.1   General

The distance included in the image parameter data can be used as the basis for length calculations.
To calculate the length, you need to add a line measurement tool to the image. FLIR Tools/Tools+ calculates an estimate of the line length, based on the distance value.

14.17.1.1   Procedure

Follow this procedure: