Health/Assets/OpenCVForUnity/org/opencv_contrib/ximgproc/ScanSegment.cs

193 lines
6.8 KiB
C#

using OpenCVForUnity.CoreModule;
using OpenCVForUnity.UtilsModule;
using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
namespace OpenCVForUnity.XimgprocModule
{
// C++: class ScanSegment
/**
* Class implementing the F-DBSCAN (Accelerated superpixel image segmentation with a parallelized DBSCAN algorithm) superpixels
* algorithm by Loke SC, et al. CITE: loke2021accelerated for original paper.
*
* The algorithm uses a parallelised DBSCAN cluster search that is resistant to noise, competitive in segmentation quality, and faster than
* existing superpixel segmentation methods. When tested on the Berkeley Segmentation Dataset, the average processing speed is 175 frames/s
* with a Boundary Recall of 0.797 and an Achievable Segmentation Accuracy of 0.944. The computational complexity is quadratic O(n2) and
* more suited to smaller images, but can still process a 2MP colour image faster than the SEEDS algorithm in OpenCV. The output is deterministic
* when the number of processing threads is fixed, and requires the source image to be in Lab colour format.
*/
public class ScanSegment : Algorithm
{
protected override void Dispose(bool disposing)
{
try
{
if (disposing)
{
}
if (IsEnabledDispose)
{
if (nativeObj != IntPtr.Zero)
ximgproc_ScanSegment_delete(nativeObj);
nativeObj = IntPtr.Zero;
}
}
finally
{
base.Dispose(disposing);
}
}
protected internal ScanSegment(IntPtr addr) : base(addr) { }
// internal usage only
public static new ScanSegment __fromPtr__(IntPtr addr) { return new ScanSegment(addr); }
//
// C++: int cv::ximgproc::ScanSegment::getNumberOfSuperpixels()
//
/**
* Returns the actual superpixel segmentation from the last image processed using iterate.
*
* Returns zero if no image has been processed.
* return automatically generated
*/
public int getNumberOfSuperpixels()
{
ThrowIfDisposed();
return ximgproc_ScanSegment_getNumberOfSuperpixels_10(nativeObj);
}
//
// C++: void cv::ximgproc::ScanSegment::iterate(Mat img)
//
/**
* Calculates the superpixel segmentation on a given image with the initialized
* parameters in the ScanSegment object.
*
* This function can be called again for other images without the need of initializing the algorithm with createScanSegment().
* This save the computational cost of allocating memory for all the structures of the algorithm.
*
* param img Input image. Supported format: CV_8UC3. Image size must match with the initialized
* image size with the function createScanSegment(). It MUST be in Lab color space.
*/
public void iterate(Mat img)
{
ThrowIfDisposed();
if (img != null) img.ThrowIfDisposed();
ximgproc_ScanSegment_iterate_10(nativeObj, img.nativeObj);
}
//
// C++: void cv::ximgproc::ScanSegment::getLabels(Mat& labels_out)
//
/**
* Returns the segmentation labeling of the image.
*
* Each label represents a superpixel, and each pixel is assigned to one superpixel label.
*
* param labels_out Return: A CV_32UC1 integer array containing the labels of the superpixel
* segmentation. The labels are in the range [0, getNumberOfSuperpixels()].
*/
public void getLabels(Mat labels_out)
{
ThrowIfDisposed();
if (labels_out != null) labels_out.ThrowIfDisposed();
ximgproc_ScanSegment_getLabels_10(nativeObj, labels_out.nativeObj);
}
//
// C++: void cv::ximgproc::ScanSegment::getLabelContourMask(Mat& image, bool thick_line = false)
//
/**
* Returns the mask of the superpixel segmentation stored in the ScanSegment object.
*
* The function return the boundaries of the superpixel segmentation.
*
* param image Return: CV_8UC1 image mask where -1 indicates that the pixel is a superpixel border, and 0 otherwise.
* param thick_line If false, the border is only one pixel wide, otherwise all pixels at the border are masked.
*/
public void getLabelContourMask(Mat image, bool thick_line)
{
ThrowIfDisposed();
if (image != null) image.ThrowIfDisposed();
ximgproc_ScanSegment_getLabelContourMask_10(nativeObj, image.nativeObj, thick_line);
}
/**
* Returns the mask of the superpixel segmentation stored in the ScanSegment object.
*
* The function return the boundaries of the superpixel segmentation.
*
* param image Return: CV_8UC1 image mask where -1 indicates that the pixel is a superpixel border, and 0 otherwise.
*/
public void getLabelContourMask(Mat image)
{
ThrowIfDisposed();
if (image != null) image.ThrowIfDisposed();
ximgproc_ScanSegment_getLabelContourMask_11(nativeObj, image.nativeObj);
}
#if (UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR
const string LIBNAME = "__Internal";
#else
const string LIBNAME = "opencvforunity";
#endif
// C++: int cv::ximgproc::ScanSegment::getNumberOfSuperpixels()
[DllImport(LIBNAME)]
private static extern int ximgproc_ScanSegment_getNumberOfSuperpixels_10(IntPtr nativeObj);
// C++: void cv::ximgproc::ScanSegment::iterate(Mat img)
[DllImport(LIBNAME)]
private static extern void ximgproc_ScanSegment_iterate_10(IntPtr nativeObj, IntPtr img_nativeObj);
// C++: void cv::ximgproc::ScanSegment::getLabels(Mat& labels_out)
[DllImport(LIBNAME)]
private static extern void ximgproc_ScanSegment_getLabels_10(IntPtr nativeObj, IntPtr labels_out_nativeObj);
// C++: void cv::ximgproc::ScanSegment::getLabelContourMask(Mat& image, bool thick_line = false)
[DllImport(LIBNAME)]
private static extern void ximgproc_ScanSegment_getLabelContourMask_10(IntPtr nativeObj, IntPtr image_nativeObj, [MarshalAs(UnmanagedType.U1)] bool thick_line);
[DllImport(LIBNAME)]
private static extern void ximgproc_ScanSegment_getLabelContourMask_11(IntPtr nativeObj, IntPtr image_nativeObj);
// native support for java finalize()
[DllImport(LIBNAME)]
private static extern void ximgproc_ScanSegment_delete(IntPtr nativeObj);
}
}