Android OpenCV简单形状检测应用程序圈错误

以下代码适用于正方形，但不适用于三角形。 为什么？

这是我的示例代码：

public void onClick(View v) { ImageView resim = (ImageView)findViewById(R.id.imgview_gosterge); Bitmap image=((BitmapDrawable)resim.getDrawable()).getBitmap(); Bitmap bmp32 = image.copy(Bitmap.Config.ARGB_8888, true); Mat tmp = new Mat (bmp32.getHeight(), bmp32.getWidth(), CvType.CV_8U); //Utils.bitmapToMat(image, tmp); Utils.bitmapToMat(bmp32, tmp); bmp32.recycle(); Imgproc.cvtColor(tmp, tmp, Imgproc.COLOR_RGB2HSV, 4 ); tmp = findLargestRectangle(tmp); Bitmap bmp = Bitmap.createBitmap(tmp.cols(), tmp.rows(), Bitmap.Config.ARGB_8888); Utils.matToBitmap(tmp, bmp); //Utils.matToBitmap(tmp, image); ImageView resim2 = (ImageView)findViewById(R.id.imgview_gosterge2); resim2.setImageBitmap(bmp); } }); 

findLargestRectangle：

 findLargestRectangle(Mat original_image) { Mat imgSource = original_image; //Mat untouched = original_image.clone(); //convert the image to black and white Imgproc.cvtColor(imgSource, imgSource, Imgproc.COLOR_BGR2GRAY); //convert the image to black and white does (8 bit) Imgproc.Canny(imgSource, imgSource, 50, 50); //apply gaussian blur to smoothen lines of dots Imgproc.GaussianBlur(imgSource, imgSource, new Size(5, 5), 5); //find the contours List contours = new ArrayList(); Imgproc.findContours(imgSource, contours, new Mat(), Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE); double maxArea = -1; int maxAreaIdx = -1; MatOfPoint temp_contour = contours.get(0); //the largest is at the index 0 for starting point MatOfPoint2f approxCurve = new MatOfPoint2f(); MatOfPoint2f maxCurve = new MatOfPoint2f(); List largest_contours = new ArrayList(); for (int idx = 0; idx  maxArea) { //check if this contour is a square MatOfPoint2f new_mat = new MatOfPoint2f( temp_contour.toArray() ); int contourSize = (int)temp_contour.total(); Imgproc.approxPolyDP(new_mat, approxCurve, contourSize*0.05, true); if (approxCurve.total() == 4) { maxCurve = approxCurve; maxArea = contourarea; maxAreaIdx = idx; largest_contours.add(temp_contour); } } } //create the new image here using the largest detected square Mat new_image = new Mat(imgSource.size(), CvType.CV_8U); //we will create a new black blank image with the largest contour Imgproc.cvtColor(new_image, new_image, Imgproc.COLOR_BayerBG2RGB); Imgproc.drawContours(new_image, contours, maxAreaIdx, new Scalar(255, 255, 255), 1); //will draw the largest square/rectangle System.out.println("points length" + temp_contour.toArray().length); if( temp_contour.toArray().length == 5) { System.out.println("Pentagon"); TextView temp_text = (TextView)findViewById(R.id.temp_text); temp_text.setText("\n Beşgen"); } else if(temp_contour.toArray().length > 5) { System.out.println("Circle"); TextView temp_text = (TextView)findViewById(R.id.temp_text); temp_text.setText("\n Daire"); } else if(temp_contour.toArray().length == 4) { System.out.println("Square"); double temp_double[] = maxCurve.get(0, 0); Point p1 = new Point(temp_double[0], temp_double[1]); Imgproc.circle(new_image, new Point(p1.x, p1.y), 20, new Scalar(255, 0, 0), 5); //p1 is colored red String temp_string = "Point 1: (" + p1.x + ", " + p1.y + ")"; temp_double = maxCurve.get(1, 0); Point p2 = new Point(temp_double[0], temp_double[1]); Imgproc.circle(new_image, new Point(p2.x, p2.y), 20, new Scalar(0, 255, 0), 5); //p2 is colored green temp_string += "\nPoint 2: (" + p2.x + ", " + p2.y + ")"; temp_double = maxCurve.get(2, 0); Point p3 = new Point(temp_double[0], temp_double[1]); Imgproc.circle(new_image, new Point(p3.x, p3.y), 20, new Scalar(0, 0, 255), 5); //p3 is colored blue temp_string += "\nPoint 3: (" + p3.x + ", " + p3.y + ")"; temp_double = maxCurve.get(3, 0); Point p4 = new Point(temp_double[0], temp_double[1]); Imgproc.circle(new_image, new Point(p4.x, p4.y), 20, new Scalar(0, 255, 255), 5); //p1 is colored violet temp_string += "\nPoint 4: (" + p4.x + ", " + p4.y + ")"; TextView temp_text = (TextView)findViewById(R.id.temp_text); temp_text.setText(temp_string+"\n Kare"); } else if(temp_contour.toArray().length == 3) { System.out.println("Triangle"); TextView temp_text = (TextView)findViewById(R.id.temp_text); temp_text.setText("\n Üçgen"); } return new_image; } 

广场：

三角形：