advancedskrald/ChessAR/Assets/OpenCVForUnity/Examples/MainModules/features2d/MSERExample/MSERExample.cs

64 lines
2.0 KiB
C#
Executable File

using UnityEngine;
using UnityEngine.SceneManagement;
using System.Collections;
using System.Collections.Generic;
using OpenCVForUnity.CoreModule;
using OpenCVForUnity.Features2dModule;
using OpenCVForUnity.ImgprocModule;
using OpenCVForUnity.UnityUtils;
namespace OpenCVForUnityExample
{
/// <summary>
/// MSER Example
/// An example of region detection using the MSER extraction algorithm.
/// </summary>
public class MSERExample : MonoBehaviour
{
// Use this for initialization
void Start ()
{
Texture2D imgTexture = Resources.Load ("chessboard") as Texture2D;
Mat imgMat = new Mat (imgTexture.height, imgTexture.width, CvType.CV_8UC3);
Utils.texture2DToMat (imgTexture, imgMat);
Debug.Log ("imgMat.ToString() " + imgMat.ToString ());
MSER mserExtractor = MSER.create ();
mserExtractor.setDelta (5);
mserExtractor.setMinArea (60);
mserExtractor.setMaxArea (14400);
List<MatOfPoint> mserContours = new List<MatOfPoint> ();
MatOfRect mserBbox = new MatOfRect ();
mserExtractor.detectRegions (imgMat, mserContours, mserBbox);
for (int i = 0; i < mserContours.Count; i++) {
Imgproc.drawContours (imgMat, mserContours, i, new Scalar (Random.Range (0, 255), Random.Range (0, 255), Random.Range (0, 255)), 4);
}
Texture2D texture = new Texture2D (imgMat.cols (), imgMat.rows (), TextureFormat.RGBA32, false);
Utils.matToTexture2D (imgMat, texture);
gameObject.GetComponent<Renderer> ().material.mainTexture = texture;
}
// Update is called once per frame
void Update ()
{
}
/// <summary>
/// Raises the back button click event.
/// </summary>
public void OnBackButtonClick ()
{
SceneManager.LoadScene ("OpenCVForUnityExample");
}
}
}