Segmenting an Image Using the Intellesis Segmentation Image Processing Function
You have trained an Intellesis segmentation model.
You have opened the image which you want to segment under Images & Documents.
On the Processing tab, select the Intellesis Segmentation function.
Open the Method Parameters and select the trained model from the Model list. Ensure the model was trained on images with similar features; otherwise, segmentation may be ineffective. Additionally, the pixel types of the image and model must match, or segmentation cannot be performed.
Select the desired Output Format.
If you select Multi-Channel, the output will be a multi-channel image, with each class defined in the trained model represented in its own channel. This format can be easily viewed in the ZEN 3D view and seamlessly combined with the original image data.
If you select Labels, the output will be a single-channel image, where pixels corresponding to different classes are labeled with distinct colors and represented by unique pixel values.
Under Input Parameters select the image which you want to segment, and click Apply.
The automatic image segmentation using the Intellesis segmentation model is performed.
When the segmentation is finished, you get two resulting images depending on the output format:
- the multi-channel or labels image and
- the confidence map.
You can also use the image processing function in Batch mode similar to all the other functions to segment several images using different models at once in one run.
The image shows (from left to right): original image, segmented image, confidence map