11  Analyzing and editing images

11.1   General

The FLIR Report Studio Image Editor is a powerful tool for analyzing and editing infrared images.
These are some of the functions and settings you can experiment with:
  • Adding measurement tools.
  • Adjusting the infrared image.
  • Changing the color distribution.
  • Changing the color palette.
  • Changing the image modes.
  • Working with color alarms and isotherms.
  • Changing the measurement parameters.

11.2  Starting the Image Editor‎

You can start the Image Editor from the FLIR Report Studio wizard and from the FLIR Word Add-in.

11.2.1  Starting the Image Editor‎ from the FLIR Report Studio‎ wizard

Follow this procedure:

11.2.2  Starting the Image Editor‎ from the FLIR Word Add-in‎

You can start the Image Editor from an editable infrared report.

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11.3  Image Editor‎ screen elements

11.3.1   Figure

Graphic

11.3.2   Explanation

11.4  Basic image editing functions

11.4.1  Rotating the image

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11.4.2  Cropping the image

You can crop an image and save the cropped image as a copy of the original image.

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11.5  Working with measurement tools

11.5.1   General

To measure a temperature, you can use one or more measurement tools, e.g., a spot, box, circle, or line.
When you add a measurement tool to the image, the measured temperature will be displayed in the right pane of the Image Editor. The tool setup will also be saved to the image file and the measured temperature will be available for display in your infrared report.

11.5.2  Adding a measurement tool

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11.5.3  Moving and resizing a measurement tool

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11.5.4  Displaying a profile plot

11.5.4.1   General

A profile plot displays how the temperature results vary over a line tool.

11.5.4.2   Procedure

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11.5.5  Creating local markers for a measurement tool

11.5.5.1   General

The Image Editor will respect any existing markers for a measurement tool as set up in the camera. However, sometimes you may want to add a marker when analyzing the image. You do this by using local markers.

11.5.5.2   Procedure

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11.5.6  Calculating areas

11.5.6.1   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. The Image Editor 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.
11.5.6.1.1   Procedure

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11.5.6.1.2  Calculating lengths
11.5.6.1.2.1   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. The Image Editor calculates an estimate of the line length, based on the distance value.
11.5.6.1.2.1.1   Procedure

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11.5.7  Setting up a difference calculation

11.5.7.1   General

A difference calculation gives the difference (delta) between two temperatures—for example, two spots, or a spot and the maximum temperature in the image.

11.5.7.2   Procedure

11.5.7.2.1   Procedure

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11.5.8  Deleting a measurement tool

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11.6  Adjusting the infrared image

11.6.1   General

An infrared image can be adjusted manually or automatically.
In the Image Editor, you can manually change the top and bottom levels in the temperature scale. This makes it easier to analyze the image. You can, for example, change the temperature scale to values close to the temperature of a specific object in the image. This will make it possible to detect anomalies and smaller temperature differences in the part of the image of interest.
When auto-adjusting an image, the Image Editor adjusts the image for the best image brightness and contrast. This means that the color information is distributed over the existing temperatures of the image.
In some situations, the image may contain very hot or cold areas outside your area of interest. In such cases you will want to exclude those areas when auto-adjusting the image and use the color information only for the temperatures in your area of interest. You can do so by defining an auto-adjust region.

11.6.2  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
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Manual

11.6.3  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 scale in the right image has been changed to values close to the temperature of the isolator.
Graphic
Automatic
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Manual

11.6.4  Changing the temperature levels

Follow this procedure:

Graphic

11.6.5  Auto-adjusting the image

Follow this procedure:

Graphic

11.6.6  Defining an auto-adjust region

An auto-adjust region sets the top and bottom levels in the temperature scale to the maximum and minimum temperatures in that area. By using the color information only for the relevant temperatures, you will get more details in your area of interest.

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11.7  Changing the color distribution

11.7.1   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.

11.7.2  Definitions

You can choose from the following color distributions:
  • 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.
  • 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.
  • Digital Detail Enhancement: This is an image-displaying method where high-frequency content in the image, such as edges and corners, are enhanced to increase the visibility of details.

11.7.3   Procedure

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11.8  Changing the color palette

11.8.1   General

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

Color palette

Image example

Artic
Graphic
Cool
Graphic
Gray
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Iron
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Lava
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Rainbow
Graphic
Rainbow HC
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Warm
Graphic

11.8.2   Procedure

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11.9  Changing the image modes

11.9.1   General

For some images you can change the image mode.

11.9.2  Types of image modes

Image mode

Image example

Thermal MSX (Multi Spectral Dynamic Imaging): This mode displays an infrared image where the edges of the objects are enhanced. The thermal/photo balance can be adjusted.
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Thermal: This mode displays a fully infrared image.
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Thermal Fusion: This mode displays a digital photo where some parts are displayed in infrared, depending on the temperature limits.
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Thermal Blending: The camera displays a blended image that uses a mix of infrared pixels and digital photo pixels. The thermal/photo balance can be adjusted.
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Picture in picture: This mode displays an infrared image frame on top of a digital photo.
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Digital camera: This mode displays a fully digital photo.
Graphic

11.9.3   Procedure

Follow this procedure:

11.10  Working with color alarms and isotherms

11.10.1   General

By using color alarms (isotherms), anomalies can easily be discovered in an infrared image. The isotherm command applies a contrasting color to all pixels with a temperature above, below, or between the set temperature levels. There are also alarm types that are specific to the building trade: humidity and insulation alarms.
You can select the following types of color alarms:
  • Above alarm: This will apply a contrasting color to all pixels with a temperature above the specified temperature level.
  • Below alarm: This will apply a contrasting color to all pixels with a temperature below the specified temperature level.
  • Interval alarm: This will apply a contrasting color to all pixels with a temperature between two specified temperature levels.
  • Humidity alarm: Triggers when a surface where the relative humidity exceeds a preset value is detected.
  • Insulation alarm: Triggers when there is an insulation deficiency in a wall.
  • Custom alarm: This alarm type allows you to manually modify the settings for a standard alarm.
Setting parameters for the activated color alarm are displayed under ALARM in the right pane.
Graphic

11.10.2  Image examples

This table explains the different color alarms (isotherms).

Color alarm

Image

Above alarm
Graphic
Below alarm
Graphic
Interval alarm
Graphic
Humidity alarm
Graphic
Insulation alarm
Graphic

11.10.3  Setting up above and below alarms

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11.10.4  Setting up an interval alarm

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11.10.5  Setting up a humidity alarm

11.10.5.1   General

The humidity alarm (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).

11.10.5.2   Procedure

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11.10.6  Setting up an insulation alarm

11.10.6.1   General

The insulation alarm (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.

11.10.6.2   Procedure

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11.10.7  Setting up a custom alarm

11.10.7.1   General

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

11.10.7.2   Procedure

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11.11  Changing the local parameters for a measurement tool

11.11.1   General

For accurate measurements, it is important to set the measurement parameters. The measurement parameters stored with the image are displayed in the right pane, under PARAMETERS.
In some situations you may want to change a measurement (object) 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 18 Thermographic measurement techniques .
The following indicators are used when local parameters are activated for a measurement tool:
  • In the image, an asterisk (*) is displayed next to the measurement tool.
    Graphic
  • In the result table of the Image Editor, an icon is displayed next to the measurement value.
    Graphic
  • In result fields and tables in infrared reports, an asterisk (*) is displayed and the local parameter values are included in brackets.
    Graphic

11.11.2   Procedure

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11.12  Working with annotations

11.12.1   General

You can save additional information with an infrared image by using annotations. Annotations make reporting and post-processing more efficient, by providing essential information about the image, e.g., conditions and information about where an image is taken.
Some cameras allow you to add annotations directly in the camera, e.g., notes (image descriptions), text, voice, and sketch annotations. These annotations (if available) are displayed in the right pane of the Image Editor. You can also add notes (image descriptions) and text annotations to images using the Image Editor.

11.12.2  About image descriptions

11.12.2.1  What is an image description?

An image description is a brief free-form textual description that is stored in an infrared image file. It uses a standard tag in the *.jpg file format and can be retrieved by other software.
In the Image Editor and FLIR cameras, the image description is called Note.
11.12.2.1.1   Procedure

11.12.3  About text annotations

11.12.3.1  What is a text annotation?

A text annotation is textual information about something in an image and is constructed of a group of information pairs—label and value. The reason for using text annotations is to make reporting and post-processing more efficient by providing essential information about the image, e.g., conditions, photos, and information about where the image was taken.
A text annotation is a proprietary annotation format from FLIR Systems , and the information cannot be retrieved by other vendors’ software. The concept relies heavily on interaction by the user. In the camera, the user can select one of several values for each label. The user can also enter numerical values, and make the text annotation capture measurement values from the screen.

11.12.3.2  Creating a text annotation for an image

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