for the hand of all the other things, such as filter, for example, background, etc. can be taken to segment the hand first.
There are various methods for image segmentation that can be applied.
The boundaries between these processes is often blurred. Therefore, one can combine them to achieve better and efficient results.
Pixel-oriented method
The pixel-oriented methods, criteria used to segment allocation only to the pixels, independently of other pixels.
Procedure: Schwelwertverfahren
edge oriented method
The edge-oriented method is searched for edges and contours, which are combined to object boundaries.
methods: Sobel operator, Laplace operators, watershed transformation, Snakes
region-oriented method
The region-based methods are considered contiguous sets of points as a whole.
methods: region growing, split and merge, Pyramid Linking, Region Merging
model-based method is
The model-based methods based on concrete knowledge about the pictures, that is a model.
Procedure: Hough transform, statistical models, template matching
texture-based method
in texture-based method for a texture, ie, after a homogeneous internal structure, rather than segmented according to a uniform color.Procedure: cooccurrence matrix (Haralick matrices),
texture energy measures (Texture Energy Measure),
Lauflängenmatrizen (Run-Length Matrix),
fractal dimensions and measures,
Markov Random Fields and Gibbs potentials,
structural approaches, theoretical concepts
signal
These methods are sometimes on the borderline for classification or allow simultaneous segmentation and classification.
