Captured images can be saved automatically or manually according to each process.
The automatic save function provides a directory structure where title and file name are automatically saved according to the user's specifications. This type of data saving system provides a tremendous amount of efficiency where many images and operators are involved in the process.

In addition, based on settings, image files can be saved, searched, opened, and managed through a comprehensive database system.

Captured images are saved with pre-calibrated information. Real world dimensions can be used to measure objects using functions such as annotation, measure, blob analysis, etc. All symbols such as arrows, circle, etc. can be displayed with real measured values based on pre-calibrated information. All kinds of measured values and symbols can be permanently saved with images and support the use of other Office tools such as Excel and Word. Image annotation can also be saved separately from the image.

The Marker Bar, which represents calibrated information, can locate any points or shape within the image and can save the images for later use.

Images captured by an Optical or Scanning Electron Microscope are often distorted by equipment and environmental consequences such as uncontrollable light or darkness. Frequency filters can be used to significantly improve the quality of an image hampered by indirect factors.

GAIA supports various image improvement functions such as AOI (Area of Interest), geometric shape correction, frequency filters, spatial filters, user-defined filters, morphological filters, etc.

GAIA supports color processing such as pseudo coloring that makes color images from B/W images using random colors. This function can produce a more useful image for analysis. Splits and merges are also supported according to RGB, HSV, HSL, and CMYK color models.

User can conduct arithmetic operations with images such as Addition, Subtraction, Multiplication, and Division. For example, users can easily detect the difference between very similar images by simply subtracting images from other, slightly different images. By logical operations such as AND, OR, XOR, etc. users can mask the images with a more significant mask.

Sometimes users must capture multiple images from some inspection machines for one complete inspection object, because of magnification and resolution problems. During these instances, users are unable to see a whole picture for one object and cannot measure desired dimensions. By utilizing the Tiling function, users can create one big picture assembling multiple part images. This can be done either manually or automatically.

When capturing a high magnification image using a microscope, DOF (Depth of Field) can impose some focus problems for the image. For every object that has height, there will be an unfocused portion in the image. GAIA can makes one well focused image using multiple unfocused images. This is called Multi-Focusing.

GAIA's Tiling and Multi-Focusing features can analyze objects that were not possible before.

GAIA concurrently supports multiple AOIs (Areas of Interest) using symbol such as a Box, a Circle, a Line, etc. All image processing functions of GAIA can concurrently apply the same functions at the desired AOI.

Users can analyze the distribution and detailed changes of defined AOI lines using the profile viewer by Color Model (RGB, CMYK, etc ) or Grey level.

Using 1st and 2nd deviations and Zero crossing functions, users can more accurately analyze intensity changes that cannot be detected by the eye. This function allows users to obtain more precise measurement and analysis results.

A histogram of images that have random surface patterns can be used as a quality control tool. It can calculate the distribution of each Color model and Grey value.

GAIA supports two measurement methods: 1) Simple Measurement with annotation functions and 2) Advanced Measurement for professional and more complex measurements. All measurements are conducted using pre-defined calibration information that is saved when images are captured. Users can also measure objects in images that are captured from other pieces of equipment or software by recalibrating.

Advanced measuring provides 15 powerful primitive measurement methods, such as a circle using 3 points, a perpendicular line length between a line and a point, angle measurement between two lines, approximations from multiple points, etc. All the points from the measuring results can also used at a later measurement. Users are thus able to make new applications using the 15 primitive measurement methods.

Auto-Tracing is a noteworthy function because it allows users to detect object shapes and dimensions with ease and accuracy.

All measurement results can be permanently saved on images and all data can be exported to an Excel file for later use.

Object Counting and Sizing are functions for extracting point of interest objects from images for measurement. Various data points such as distribution of measured object, size, and counts can be obtained.

GAIA supports various methods of extracting point of interest objects from backgrounds using such tools as color segmentation, the Wathersed method, Morphological functions, the Histogram method (Phase Analysis), the global threshold method, and other local enhancement functions.

These binary images can also be re-edited using the Binary Editor, which allows the manual cutting and merging of an object, as well as the automatic cutting of an adjacent object.

There are various supporting functions that allow for re-filtering and re-grouping according to measurement results such as size, circularity, color level, etc. When these parameters are defined, they can also be displayed by a distribution histogram and scattergram.

There are approximately 60 types of measurement results (i.e. area, boundary length, circularity), which can be exported to Excel for later use.

The GAIA Image Database consists of separated programs, which makes it convenient for users to manage images separately. There are three kinds of options for storage structure and storage size of images: 1) a simple database using windows directory and file structure, 2) a client/server structure database for large working and research groups, and 3) a stand alone local database which can be supported by different options.

Export and import of image data from/to all GAIA products is well supported. For example, captured images from GAIA RED can be directly inserted into the database and vise versa.

All images and result data can be sent to a Report Generator and compiled to create a comprehensive report for presentations or marketing materials. Reports can be generated in a pre-defined form or customized to the users needs. The reports can be saved, re-edited, printed, etc.