Trait opencv::hub_prelude::MSERConst

source · 
pub trait MSERConst: Feature2DTraitConst {
    fn as_raw_MSER(&self) -> *const c_void;

    fn get_delta(&self) -> Result<i32> { ... }
    fn get_min_area(&self) -> Result<i32> { ... }
    fn get_max_area(&self) -> Result<i32> { ... }
    fn get_max_variation(&self) -> Result<f64> { ... }
    fn get_min_diversity(&self) -> Result<f64> { ... }
    fn get_max_evolution(&self) -> Result<i32> { ... }
    fn get_area_threshold(&self) -> Result<f64> { ... }
    fn get_min_margin(&self) -> Result<f64> { ... }
    fn get_edge_blur_size(&self) -> Result<i32> { ... }
    fn get_pass2_only(&self) -> Result<bool> { ... }
    fn get_default_name(&self) -> Result<String> { ... }
}
Expand description

Maximally stable extremal region extractor

The class encapsulates all the parameters of the %MSER extraction algorithm (see wiki article).

  • there are two different implementation of %MSER: one for grey image, one for color image

  • the grey image algorithm is taken from: nister2008linear ; the paper claims to be faster than union-find method; it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.

  • the color image algorithm is taken from: forssen2007maximally ; it should be much slower than grey image method ( 3~4 times )

  • (Python) A complete example showing the use of the %MSER detector can be found at samples/python/mser.py

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