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我正在使用OpenCV4Android版本2.4.11,我正在檢測由相機檢索的幀中的任何矩形形狀。如下圖image_1所示,我在被檢測物體周圍繪製了一個黑色輪廓,並且我正在嘗試執行的操作是獲取繪製輪廓的所有座標,這個座標只能以黑色繪製。我試過的是,如下面code_1所示,我得到最大輪廓和最大輪廓的索引,並分別將它們保存在 「largestContour」和「largest_contour_index」中。然後,我用如何獲得輪廓的座標

Imgproc.drawContours(mMatInputFrame, contours, largest_contour_index, new Scalar(0, 0, 0), 2, 8, hierachy, 0, new Point()); 

畫出輪廓,然後我通過最大輪廓類FindCorners的點,因爲我想找到在黑畫出的輪廓的具體座標如下:

this.mFindCorners = new FindCorners(largestContour.toArray()); 
double[] cords = this.mFindCorners.getCords(); 

下面的代碼行:

double[] cords = this.mFindCorners.getCords(); 

應該給我小了x座標,最小y座標,最大x座標和最大y座標。但是當我圍繞我從「this.mFindCorners.getCords()獲得的座標繪製一個圓圈;」我在下面的image_2中找到了類似 的東西,這只是BoundingRect的邊角。

其實我不想從boundingRect我希望能夠訪問到被探測到的物體圍繞在巴爾克畫出的輪廓的座標

請讓我知道如何讓輪廓的座標的任何座標本身?

code_1

if (contours.size() > 0) { 
     for (int i = 0; i < contours.size(); i++) { 
      contour2f = new MatOfPoint2f(contours.get(i).toArray()); 
      approxDistance = Imgproc.arcLength(contour2f, true) * .01;//.02 
      approxCurve = new MatOfPoint2f(); 
      Imgproc.approxPolyDP(contour2f, approxCurve, approxDistance, true); 
      points = new MatOfPoint(approxCurve.toArray()); 

      double area = Math.abs(Imgproc.contourArea(points, true)); 
      if (points.total() >= 4 && area >= 40000 && area <= 200000) { 
       if (area > largest_area) { 
        largest_area = area; 
        largest_contour_index = i; 
        pointsOfLargestContour = points; 
        largestContour = contours.get(i); 
       } 
      } 
     } 

     if (largest_area > 0) { 
      Imgproc.drawContours(mMatInputFrame, contours, largest_contour_index, new Scalar(0, 0, 0), 2, 8, hierachy, 0, new Point()); 

      this.mFindCorners = new FindCorners(largestContour.toArray()); 
      double[] cords = this.mFindCorners.getCords(); 

      Core.circle(mMatInputFrame, new Point(cords[0], cords[1]), 10, new Scalar(255, 0, 0)); 
      Core.circle(mMatInputFrame, new Point(cords[2], cords[3]), 10, new Scalar(255, 255, 0)); 
     } 

FindCorners

public class FindCorners { 
private final static String TAG = FragOpenCVCam.class.getSimpleName(); 

private ArrayList<Double> mlistXCords = null; 
private ArrayList<Double> mlistYCords = null; 
private double mSmallestX; 
private double mSmallestY; 
private double mLargestX; 
private double mLargestY; 
private double[] mCords = null; 

public FindCorners(Point[] points) { 
    this.mlistXCords = new ArrayList<>(); 
    this.mlistYCords = new ArrayList<>(); 
    this.mCords = new double[4]; 

    Log.d(TAG, "points.length: " + points.length); 

    for (int i = 0; i < points.length; i++) { 
     this.mlistXCords.add(points[i].x); 
     this.mlistYCords.add(points[i].y); 
    } 

    //ascending 
    Collections.sort(this.mlistXCords); 
    Collections.sort(this.mlistYCords); 

    this.mSmallestX = this.mlistXCords.get(0); 
    this.mSmallestY = this.mlistYCords.get(0); 
    this.mLargestX = this.mlistXCords.get(this.mlistXCords.size() - 1); 
    this.mLargestY = this.mlistYCords.get(this.mlistYCords.size() - 1); 

    this.mCords[0] = this.mSmallestX; 
    this.mCords[1] = this.mSmallestY; 
    this.mCords[2] = this.mLargestX; 
    this.mCords[3] = this.mLargestY; 
} 

public double[] getCords() { 
    return this.mCords; 
} 

}

IMAGE_1

enter image description here

IMAGE_2

enter image description here

更新 我不希望有邊界矩形的座標,我想有是,黑色輪廓的精確座標。如image_3所示,我從代碼中得到的座標是紅色和黃色圓圈所在的位置......但我正在尋找可以訪問黑色「輪廓線」的座標,以便我可以在其上畫一些圓圈IMAGE_3。綠色的斑點只是爲了向你展示我想要座標的位置。

IMAGE_3

enter image description here

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_should給我小了x座標,最小y座標,最大x座標和最大Y型coordinates._這些** **是邊界的座標框。你可能需要'approxPolyDP'後面的4個角,而不是像你在我的代碼中看到的 – Miki

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@Miki,我有以下行:「Imgproc.approxPolyDP(contour2f,approxCurve,approxDistance,true);」是「approxCurve」中的黑色輪廓包絡? – user2121

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黑色輪廓是'largestContour' – Miki

回答

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你的問題是,你已分別排序X和Y的和顯而易見的是,你的算法會發現紅色和黃色的點。 我可以建議如下算法:

int min_x=INF, min_x_index, min_y=1000, min_y_index; 
int max_x=-1, max_x_index, max_y=-1, max_y_index; 
for (int i = 0; i < points.length; i++) 
    { 
     if(points[i].x < min_x) { min_x = points[i].x; min_x_index = i; } 
     if(points[i].x > max_x) { max_x = points[i].x; max_x_index = i; } 
     if(points[i].y < min_y) { min_y = points[i].y; min_y_index = i; } 
     if(points[i].y > max_y) { max_y = points[i].y; max_y_index = i; } 
    } 
Point corner1(points[min_x_index]); 
Point corner2(points[min_y_index]); 
Point corner3(points[max_x_index]); 
Point corner4(points[max_y_index]);