[opencv]路径规划--图像识别目标分离

created by Dejavu
[完结]

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目的

• 这里我们试图将路径规划的起点物体，终点靶目标，障碍物抽象成基本图形，分别为圆形和方形，这样为我们测试路径规划算法提供原始可视的目标数据

• 如下图所示，这里我们设定红色为起点物体，绿色为终点靶目标，灰色为障碍物

  
  
  

c++ opencv 目标分离

• 用到的头文件 a_star.h,这里外部调用时函数只需调用Obj all_obj(Mat src,Mat &take_look)这个即可

    #include "a_star.h"
    Pt center_pt(Mat src) {
        Pt pt;
        int r;
        bool find(false);
        for (int i = 0;i < src.cols;i++) {
            for (int j = 0;j < src.rows;j++) {
                if (src.at(j, i) >= 200) {
                    pt.pt.y = j;
                    r = i;
                    find = true;
                    break;
                }
            }
            if (find) break;
        }
        find = false;
        for (int i = 0;i < src.rows;i++) {
            for (int j = 0;j < src.cols;j++) {
                if (src.at(i, j) >= 200) {
                    pt.pt.x = j;
                    r = j - r;
                    find = true;
                    break;
                }
            }
            if (find) break;
        }
        pt.r = r;
        return pt;
    }
  
    bool foundFromGrid(Point index, Point tar, int r, Point &pt) {
        Point tmp = Point(index.x*r, index.y*r);
        if (tmp.x <= tar.x && tmp.y <= tar.y && tmp.x + r >= tar.x && tmp.y + r >= tar.y) {
            pt = index;
            return true;
        }
        return false;
    }
  
    GridMapInfo map2grid_map(Mat map, int _r, Point tar, Point dest,Mat &take_look) {
        GridMapInfo info;
        bool isFoundT(false), isFoundD(false);
        Mat grid_map(map);
        int r = _r * 2;
        int n = map.rows / r;
        int m = map.cols / r;
        for (int y = 0;y < n;y++) {
            for (int x = 0;x < m;x++) {
                bool isBlock(false);
                for (int i = 0;i < r;i++) {
                    for (int j = 0;j < r;j++) {
                        if (grid_map.at(y*r + i, x*r + j) < 100) {
                            isBlock = true;
                            break;
                        }
                    }
                }
                info.map[x][y].init();
                info.map[x][y].isWall = isBlock;
                info.map[x][y].index = Point(x, y);
                info.map[x][y].pt = Point(x*r, y*r);
                info.map[x][y].center = Point(x*r + r / 2, y*r + r / 2);
                info.map[x][y].addNeighbors();
                if (isBlock) {
                    for (int i = 0;i < r;i++) {
                        for (int j = 0;j < r;j++) {
                            if (grid_map.at(y*r + i, x*r + j) < 100) continue;
                            else grid_map.at(y*r + i, x*r + j) = 0;
                        }
                    }
                }
                if (!isFoundT) isFoundT = foundFromGrid(Point(x, y), tar, r, info.target);
                if (!isFoundD) isFoundD = foundFromGrid(Point(x, y), dest, r, info.dest);
                rectangle(grid_map, Rect(x*r, y*r, r, r), Scalar::all(150), 5);
                rectangle(take_look, Rect(x*r, y*r, r, r), Scalar::all(150), 5);
            }
        }
        info.obj_img = grid_map;
        if(DUBUG) imshow("obj", grid_map);
        return info;
  
    }
  
    Obj all_obj(Mat src,Mat &take_look) {
        Obj obj;
        vector ch(3);
        Mat element = getStructuringElement(MORPH_RECT, Size(4, 4));
        split(src, ch);
        Mat b, g, r;
  
        b = ch.at(0);
        g = ch.at(1);
        r = ch.at(2);
  
        Mat block_img;
        Mat obj_src;
        addWeighted(b, 0.5, g, 0.5, 0, block_img);
        addWeighted(r, 0.5, block_img, 0.5, 0, block_img);
        Mat bg;
        threshold(block_img, bg, 250, 255, 1);
        threshold(block_img, block_img, 150, 255, 0);
        addWeighted(block_img, 0.5, bg, 0.5, 0, block_img);
        threshold(block_img, block_img, 250, 255, 1);
        blur(block_img, block_img, Size(7, 7));
        threshold(block_img, block_img, 50, 255, 0);
        obj_src = block_img.clone();
        erode(block_img, block_img, element);
        if(DUBUG) imshow("block", block_img);
  
        threshold(b, b, 10, 255, 1);
        threshold(g, g, 10, 255, 1);
        threshold(r, r, 10, 255, 1);
  
        Mat target_img, dest_img;
        addWeighted(b, 0.5, g, 0.5, 0, target_img);
        threshold(target_img, target_img, 200, 255, 0);
        addWeighted(r, 0.5, b, 0.5, 0, dest_img);
        threshold(dest_img, dest_img, 200, 255, 0);
        if(DUBUG) {
            imshow("target", target_img);
            imshow("dest", dest_img);
        }
        if(DUBUG) imshow("obj_src", obj_src);
  
        obj.obj_src = obj_src;
        obj.target = center_pt(target_img);
        obj.dest = center_pt(dest_img);
        obj.info = map2grid_map(block_img, obj.target.r, obj.target.pt, obj.dest.pt,take_look);
        return obj;
    }