Table of Contents

Class ERFilter

Namespace
Emgu.CV.Text
Assembly
Emgu.CV.dll

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

public abstract class ERFilter : SharedPtrObject, IDisposable
Inheritance
ERFilter
Implements
Derived
Inherited Members

Constructors

ERFilter() 

protected ERFilter()

Methods

DisposeObject()

Release all the unmanaged memory associate with this ERFilter

protected override void DisposeObject()

ERGrouping(IInputArray, IInputArrayOfArrays, VectorOfERStat[], GroupingMethod, string, float)

Find groups of Extremal Regions that are organized as text blocks.

public static Rectangle[] ERGrouping(IInputArray image, IInputArrayOfArrays channels, VectorOfERStat[] erstats, ERFilter.GroupingMethod groupMethods = GroupingMethod.OrientationHoriz, string groupingTrainedFileName = null, float minProbability = 0.5)

Parameters

image IInputArray

The image where ER grouping is to be perform on

channels IInputArrayOfArrays

Array of single channel images from which the regions were extracted

erstats VectorOfERStat[]

Vector of ER’s retrieved from the ERFilter algorithm from each channel

groupMethods ERFilter.GroupingMethod

The grouping methods

groupingTrainedFileName string

The XML or YAML file with the classifier model (e.g. trained_classifier_erGrouping.xml)

minProbability float

The minimum probability for accepting a group.

Returns

Rectangle[]

The output of the algorithm that indicates the text regions

Run(IInputArray, VectorOfERStat)

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

public void Run(IInputArray image, VectorOfERStat regions)

Parameters

image IInputArray

Single channel image CV_8UC1

regions VectorOfERStat

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