void IPLMorphologyHitMiss::init()
{
// init
_result = NULL;
// basic settings
setClassName("IPLMorphologyHitMiss");
setTitle("Hit-Miss Morphology");
setCategory(IPLProcess::CATEGORY_MORPHOLOGY);
// default value
// 0 0 0
// 0 1 0
// 0 0 0
int nrElements = 9;
_kernel.clear();
for(int i=0; i<nrElements; i++)
{
_kernel.push_back((i==4 ? 1 : 0));
}
// inputs and outputs
addInput("Image", IPL_IMAGE_BW);
addOutput("Image", IPL_IMAGE_BW);
// properties
addProcessPropertyVectorInt("kernel", "Kernel", "", _kernel, IPL_WIDGET_BINARY_MORPHOLOGY_TRISTATE);
}
void IPLConvolutionFilter::init()
{
// init
_result = NULL;
_offset = 0;
_divisor = 0;
_borders = 0;
_kernel.clear();
// basic settings
setClassName("IPLConvolutionFilter");
setTitle("2D Convolution");
setKeywords("filter");
setCategory(IPLProcess::CATEGORY_LOCALOPERATIONS);
setDescription("Convolution of a kernel with image.");
setOpenCVSupport(IPLOpenCVSupport::OPENCV_OPTIONAL);
// default values
// 0 0 0
// 0 1 0
// 0 0 0
int nrElements = 9;
for(int i=0; i<nrElements; i++)
{
// set the center to 1, all others to 0
_kernel.push_back(i == nrElements/2 ? 1 : 0);
}
// inputs and outputs
addInput("Image", IPLData::IMAGE_COLOR);
addOutput("Image", IPLData::IMAGE_COLOR);
// properties
addProcessPropertyVectorInt("kernel", "Kernel", "", _kernel, IPL_WIDGET_KERNEL);
addProcessPropertyBool("normalize", "Normalize", "Divisor is computed automatically", true, IPL_WIDGET_CHECKBOXES);
addProcessPropertyInt("divisor", "Divisor", "", 1, IPL_WIDGET_SLIDER, 1, 512);
addProcessPropertyDouble("offset", "Offset", "", 0.0, IPL_WIDGET_SLIDER, -1.0, 1.0);
addProcessPropertyInt("borders", "Borders:Crop|Extend|Wrap", "Wrap is not available under OpenCV.", 0, IPL_WIDGET_RADIOBUTTONS, 0, 0);
}
void IPLMorphologyBinary::init()
{
// init
_result = NULL;
// basic settings
setClassName("IPLMorphologyBinary");
setTitle("Binary Morphology");
setCategory(IPLProcess::CATEGORY_MORPHOLOGY);
setOpenCVSupport(IPLOpenCVSupport::OPENCV_OPTIONAL);
// default value
// 0 0 0
// 0 1 0
// 0 0 0
int nrElements = 9;
_kernel.clear();
for(int i=0; i<nrElements; i++)
{
_kernel.push_back((i==4 ? 1 : 0));
}
_operation = 0;
_iterations = 1;
// inputs and outputs
addInput("Image", IPLImage::IMAGE_BW);
addOutput("Image", IPLImage::IMAGE_BW);
// properties
addProcessPropertyVectorInt("kernel", "Kernel", "", _kernel, IPL_WIDGET_BINARY_MORPHOLOGY);
addProcessPropertyInt("iterations", "Iterations",
"Run the algorithm x times\nCaution: big kernels and too many iterations can take a long time to compute!",
_iterations, IPL_WIDGET_SLIDER, 1, 16);
addProcessPropertyInt("operation", "Operation:Dilate|Erode|Opening|Closing", "", _operation, IPL_WIDGET_RADIOBUTTONS);
}
