| Tool Name | Normal Bayes Classification |
| Tool ID | 5 |
| Library ID | imagery_opencv |
| Version | 1.0 |
| Author(s) | O.Conrad (c) 2016 |
OpenCV - Open Source Computer Vision
OpenCV - Machine Learning Overview
| Name | Type | Identifier | Description | Constraints |
|---|---|---|---|---|
| Input | ||||
| Features | grid list, input | FEATURES | ||
| Training Samples | table, input | TRAIN_SAMPLES | Provide a class identifier in the first field followed by sample data corresponding to the input feature grids. | |
| Training Areas | shapes, input | TRAIN_AREAS | ||
| Output | ||||
| Classification | grid, output | CLASSES | ||
| Probability | grid, output, optional | PROBABILITY | ||
| Look-up Table | table, output, optional | CLASSES_LUT | A reference list of the grid values that have been assigned to the training classes. | |
| Options | ||||
| Normalize | boolean | NORMALIZE | Default: 0 | |
| Training | choice | MODEL_TRAIN | Available Choices: [0] training areas [1] training samples [2] load from file Default: 0 | |
| Class Identifier | table field | TRAIN_CLASS | ||
| Buffer Size | floating point number | TRAIN_BUFFER | For non-polygon type training areas, creates a buffer with a diameter of specified size. | Minimum: 0.000000 Default: 1.000000 |
| Load Model | file path | MODEL_LOAD | Use a model previously stored to file. | |
| Save Model | file path | MODEL_SAVE | Stores model to file to be used for subsequent classifications instead of training areas. | |