Package science.aist.imaging.api.optimization

Interface Optimizer<I>

Type Parameters:

I - Type of Image wrapped by ImageWrapper

All Known Implementing Classes:

OpenCVOptimizer

public interface Optimizer<I>

Objects of this interface are used to improve the quality and/or speed of image processing algorithms.

Since:

1.0

Author:

Christoph Praschl

Method Summary

Modifier and Type	Method	Description
RotationOffset	optimize(ImageWrapper<I> ref, ImageWrapper<I> current)	Method for calculating the positional and rotational offset of two images in an optimized way.
RotationOffset	optimize(ImageWrapper<I> ref, ImageWrapper<I> current, int numberOfIterations, int positionalRadius, int rotationalRadius, int stepsOfInterestingPoints, double degressionRate, RGBColor paddingFillColor)	Method for calculating the positional and rotational offset of two images in an optimized way.
TranslationOffset	optimizePositionalOffset(ImageWrapper<I> ref, ImageWrapper<I> current)	Method for calculating the offset of two images.

Method Detail

optimize

RotationOffset optimize(ImageWrapper<I> ref,
                        ImageWrapper<I> current)

Method for calculating the positional and rotational offset of two images in an optimized way.

Parameters:

ref - The image which is used for comparison.

current - The image which should be compared with ref

Returns:

Rotational and Translational offset between ref and current

optimize

RotationOffset optimize(ImageWrapper<I> ref,
                        ImageWrapper<I> current,
                        int numberOfIterations,
                        int positionalRadius,
                        int rotationalRadius,
                        int stepsOfInterestingPoints,
                        double degressionRate,
                        RGBColor paddingFillColor)

Method for calculating the positional and rotational offset of two images in an optimized way.

Parameters:

ref - The image which is used for comparison.

current - The image which should be compared with ref

numberOfIterations - Max. number of iterations which should be done.

positionalRadius - The search window for positional offset (look between -positionalRadius to +positionRadius. e.g. if image is translated max +/- 10 pixels on x-axis and y-axis)

rotationalRadius - The search window for rotational offset (look between -rotationalRadius to +rotationalRadius. e.g. if image is translated max +/- 2 degrees)

stepsOfInterestingPoints - Defines each x points which are interesting for feature detection. E.q. with = 3 just every third point will be used as feature.

degressionRate - degression of positionalRadius and rotationalRadius per iteration

paddingFillColor - Color which is used for filling new pixels after padding.

Returns:

Rotational and Translational offset between ref and current

optimizePositionalOffset

TranslationOffset optimizePositionalOffset(ImageWrapper<I> ref,
                                           ImageWrapper<I> current)

Method for calculating the offset of two images.

Parameters:

ref - The image which is used for comparison.

current - The image which should be compared with ref

Returns:

Rotational and Translational offset between ref and current