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我正在尝试使用 marvin 框架找到简单几何形状的顶点及其坐标。

这是我的代码（基于https://stackoverflow.com/a/25223830/957057）

package com.example.marvin;

import static marvin.MarvinPluginCollection.floodfillSegmentation;
import static marvin.MarvinPluginCollection.moravec;
import static marvin.MarvinPluginCollection.scale;

import java.io.FileWriter;
import java.io.IOException;

import marvin.image.MarvinImage;
import marvin.image.MarvinSegment;
import marvin.io.MarvinImageIO;

public class ShapesExample {

    private FileWriter fw = null;

    public ShapesExample() throws IOException{
        fw = new FileWriter("out.txt");

        // Scale down the image since the desired features can be extracted
        // in a lower resolution.
        MarvinImage image = MarvinImageIO.loadImage("square.png");
        scale(image.clone(), image, 269);

        // segment each object
        MarvinSegment[] objs = floodfillSegmentation(image);
        MarvinSegment seg;  

        OUT("Number of objects: " + objs.length);

        // For each object...
        // Skip position 0 which is just the background
        for(int i=1; i<objs.length; i++){
            seg = objs[i];
            OUT("seq: " + seg);
            MarvinImage imgSeg = image.subimage(seg.x1-5, seg.y1-5, seg.width+10, seg.height+10);
            OUT("i = " + i + "/" + objs.length);
            int[][] output;
            output = moravec(imgSeg, null, 18, 1000000);
            int xcount = 0;
            for(int x = 0; x < output.length; x++) {
                OUT("x = " + xcount++ + "/" + output[x].length);
                for(int y = 0; y < output[y].length; y++) {
                    OUTNONL("y = " + output[x][y] + " ");
                }
                OUT("");
            }
        }

        fw.close();
    }

    private void OUTNONL(String str) throws IOException {
        System.out.print(str);
    }

    private void OUT(String str) throws IOException {
        System.out.println(str);
    }

    public static void main(String[] args) throws IOException {
        new ShapesExample();
    }
}

square.png包含形状图像

正方形.png

这是我看到的输出：

Number of objects: 3
seq: {x1:97, x2:136, y1:35, y2:72, width:40, height:38, area:189}
i = 1/3
x = 0/48
y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 
.....
x = 48/48
y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 
seq: {x1:99, x2:135, y1:36, y2:71, width:37, height:36, area:1333}
i = 2/3
x = 0/46
y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 
.....
x = 46/46
y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0 y = 0

（其中 i 是图像中检测到的第 n 个对象，x 是行，y 是列）如您所见，所有值都是 0。

问题：

  • 我在获取坐标时缺少什么？
  • 为什么它会在图像中检测到 3 个形状？
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1 回答 1

2

“为什么它会在图像中检测到 3 个形状？”

FloodfillSegmentation 填充具有不同颜色的像素区域。在您的情况下，有三个单独的区域：（1）白色背景，（2）方形线条，（3）方形内部。为了解决这个问题，我只是将你的正方形变成了一个实心形状：

 boundaryFill(image.clone(), image, 1, 1, Color.BLACK);
 invertColors(image);

在此处输入图像描述

“我在获取坐标时缺少什么？”

moravec 输出不是顶点列表。它是具有与角位置相关的强度值的像素图。我在您的应用程序中添加了getVertices(int[][] cornernessMap, int minDistanceBetweenPoints)方法，以获得顶点的正确位置。

解决方案

输出图像：

在此处输入图像描述

输出文本：

Number of objects: 1
Vertex: (147,54)
Vertex: (147,105)
Vertex: (200,54)
Vertex: (200,105)

源代码：

import static marvin.MarvinPluginCollection.boundaryFill;
import static marvin.MarvinPluginCollection.floodfillSegmentation;
import static marvin.MarvinPluginCollection.invertColors;
import static marvin.MarvinPluginCollection.moravec;
import static marvin.MarvinPluginCollection.scale;

import java.awt.Color;
import java.awt.Point;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

import marvin.image.MarvinImage;
import marvin.image.MarvinSegment;
import marvin.io.MarvinImageIO;

public class ShapesExample {

    private FileWriter fw = null;

    public ShapesExample() throws IOException{
        fw = new FileWriter("out.txt");

        // Scale down the image since the desired features can be extracted
        // in a lower resolution.
        MarvinImage image = MarvinImageIO.loadImage("./res/square.png");
        scale(image.clone(), image, 400);

        // Transform the square in a solid shape
        boundaryFill(image.clone(), image, 1, 1, Color.BLACK);
        invertColors(image);

        MarvinImageIO.saveImage(image, "./res/square_2.png");

        // segment each object
        MarvinSegment[] objs = floodfillSegmentation(image);
        MarvinSegment seg;  

        OUT("Number of objects: " + (objs.length-1));

        int MATRIX_SIZE = 5;
        // For each object...
        // Skip position 0 which is just the background
        for(int i=1; i<objs.length; i++){
            seg = objs[i];

            int[][] output = moravec(image, null, MATRIX_SIZE, 1000);
            List<Point> vertices = getVertices(output, 10);

            // Draw the vertices and print coordinates
            for(Point p:vertices) {
                image.fillRect(p.x-(MATRIX_SIZE/2), p.y-(MATRIX_SIZE/2), 5, 5, Color.red); 
                OUT("Vertex: ("+p.x+","+p.y+")");
             }
        }

        MarvinImageIO.saveImage(image, "./res/square_out.png");
        fw.close();
    }

    private List<Point> getVertices(int[][] cornernessMap, int minDistanceBetweenPoints){
        int corners=0;
        List<Point> points = new ArrayList<Point>();
        for(int x=0; x<cornernessMap.length; x++){
            for(int y=0; y<cornernessMap[0].length; y++){
                // Is it a corner?
                if(cornernessMap[x][y] > 0){
                    // This part of the algorithm avoid inexistent corners
                    // detected almost in the same position due to noise.
                    Point newPoint = new Point(x,y);
                    if(points.size() == 0){
                        points.add(newPoint); corners++;
                    }else {
                        boolean valid=true;
                        for(Point p:points){
                            if(newPoint.distance(p) < minDistanceBetweenPoints){
                                valid=false;
                            }
                        }
                        if(valid){
                            points.add(newPoint); corners++;
                        }
                    }
                }
            }
        }
        return points;
    }

    private void OUTNONL(String str) throws IOException {
        System.out.print(str);
    }

    private void OUT(String str) throws IOException {
        System.out.println(str);
    }

    public static void main(String[] args) throws IOException {
        new ShapesExample();
    }
}
于 2018-09-28T13:18:31.433 回答