Collaboration diagram for Image Segmentation Filters:
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Classes | |
| class | itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage, TInternalPixel > |
| This class computes a diffusion of the gradient vectors for graylevel or binary edge map derive from the image. It enlarges the capture range of the gradient force and make external force derived from the gradient work effectively in the framework of deformable model. More... | |
Modules | |
| Intensity-Based Image Segmentation Filters | |
| Region-Based Segmentation Filters | |
| Model-Based Image Segmentation Filters | |
| Hybrid Segmentation Filters | |
Detailed Description
Image segmentation filters process an image to partition it into meaningful regions. Various types of image segmentation algorithms are available in ITK - some examples are, unsupervised pixel classification methods, region-growing methods, watershed-based methods, deformable-model based methods, and level-set based methods.
