Object Analysis & Classification

UTHSCSA ImageTool 3.0 provides for automatic identification, analysis or classification of objects. This feature can be used for microscopy, histology, metallurgy and many other fields.

The process first involves segmentation of the image into objects and background. ImageTool provides both a manual and automatic algorithm for segmentation of the image. After segmentation the image is then converted into a binary image. IT proceeds to identify, count and number all objects.

Object Analysis

Each object can be analyzed using any of following measurements:
Area, Perimeter, Compactness, Roundness, Elongation, Bounding Box Area, Centroid, Grey Centroid, Major Axis, Major Axis Length, Major Axis Slope, Minor Axis, Minor Axis Length, Minor Axis Slope, Minimum Gray Level, Maximum Gray Level, Mode Gray Level, Median Gray Level, Mean & Standard Deviation Gray Level

Object Classification

Objects can also be classified into different groups based on any of the measurements listed above. Each object can be classified by specifying a range for values for a specific measurement or characteristic. This may be useful in separating objects with different morphological characteristics.