Health/Assets/OpenCVForUnity/Examples/MainModules/features2d/MSERExample/MSERExample.cs

65 lines
1.9 KiB
C#

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");
}
}
}