ImageConvolution

This page describes a module in the upcoming version 1.2 of Ikaros and may not be correct for version 1.1

Module used for basic image filtering with user-defined filter kernels.

Example XML definition

A simple example

  <module
      class = "ImageConvolution"
      name = "SobelV"
      bias = "1.0"
      gain = "0.1"
      size_x = "3"
      size_y = "3"
      kernel = "1 0 -1     2 0 -2     1 0 -1"
  />

Parameters

Name	Description	Type	Default
class	The class name for the module; must be "ImageConvolution".	string
name	The name of this instance of the module.	string
scale	Factor to multiply each element of the output matrix	float	1.0
bias	Value to add to each element in the output matrix. Added after the multiplication with the scale factor abov	float	0.0
rectify	Should the result be rectified	bool	no
size_x	Size of the filter kernel	int	0
size_y	Size of the filter kernel	int	0
kernel	Filter coefficients	matrix

Module Connections

Inputs

Name	Description
INPUT	The input

Outputs

Name	Description
OUTPUT	The output.

Author

Christian Balkenius
christian.balkenius@lucs.lu.se
Lund University Cognitive Science

Files

ImageConvolution.h
ImageConvolution.cc
ImageConvolution.ikc