[−][src]Trait opencv::hub_prelude::ERFilter

pub trait ERFilter: AlgorithmTrait {
    pub fn as_raw_ERFilter(&self) -> *const c_void;

    pub fn as_raw_mut_ERFilter(&mut self) -> *mut c_void;

    pub fn run(
        &mut self, 
        image: &dyn ToInputArray, 
        regions: &mut Vector<ERStat>
    ) -> Result<()> { ... }

    pub fn set_callback(
        &mut self, 
        cb: &Ptr<dyn ERFilter_Callback>
    ) -> Result<()> { ... }

    pub fn set_threshold_delta(&mut self, threshold_delta: i32) -> Result<()> { ... }

    pub fn set_min_area(&mut self, min_area: f32) -> Result<()> { ... }

    pub fn set_max_area(&mut self, max_area: f32) -> Result<()> { ... }

    pub fn set_min_probability(&mut self, min_probability: f32) -> Result<()> { ... }

    pub fn set_min_probability_diff(
        &mut self, 
        min_probability_diff: f32
    ) -> Result<()> { ... }

    pub fn set_non_max_suppression(
        &mut self, 
        non_max_suppression: bool
    ) -> Result<()> { ... }

    pub fn get_num_rejected(&self) -> Result<i32> { ... }
}

Base class for 1st and 2nd stages of Neumann and Matas scene text detection algorithm Neumann12. :

Extracts the component tree (if needed) and filter the extremal regions (ER's) by using a given classifier.

Required methods

pub fn as_raw_ERFilter(&self) -> *const c_void[src]

pub fn as_raw_mut_ERFilter(&mut self) -> *mut c_void[src]

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Provided methods

pub fn run(
    &mut self,
    image: &dyn ToInputArray,
    regions: &mut Vector<ERStat>
) -> Result<()>[src]

The key method of ERFilter algorithm.

Takes image on input and returns the selected regions in a vector of ERStat only distinctive ERs which correspond to characters are selected by a sequential classifier

Parameters

  • image: Single channel image CV_8UC1

  • regions: Output for the 1st stage and Input/Output for the 2nd. The selected Extremal Regions are stored here.

Extracts the component tree (if needed) and filter the extremal regions (ER's) by using a given classifier.

pub fn set_callback(&mut self, cb: &Ptr<dyn ERFilter_Callback>) -> Result<()>[src]

set/get methods to set the algorithm properties,

pub fn set_threshold_delta(&mut self, threshold_delta: i32) -> Result<()>[src]

pub fn set_min_area(&mut self, min_area: f32) -> Result<()>[src]

pub fn set_max_area(&mut self, max_area: f32) -> Result<()>[src]

pub fn set_min_probability(&mut self, min_probability: f32) -> Result<()>[src]

pub fn set_min_probability_diff(
    &mut self,
    min_probability_diff: f32
) -> Result<()>[src]

pub fn set_non_max_suppression(
    &mut self,
    non_max_suppression: bool
) -> Result<()>[src]

pub fn get_num_rejected(&self) -> Result<i32>[src]

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Implementors

impl ERFilter for PtrOfERFilter[src]

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