求将多多边形图结构拆分为单个多边形的算法方案
算法步骤
- 初始化集合存储已访问的无向边(用排序后的节点对或唯一字符串作为边的标识,避免重复处理)。
- 遍历图中所有节点,找到存在未访问边的节点作为起点:
- 以起点初始化当前节点,将起点加入当前多边形路径。
- 循环执行以下操作直到回到起点:
- 在当前节点的邻居中,找到第一个对应边未被访问的节点。
- 标记该边为已访问,将邻居节点加入路径,更新当前节点为该邻居。
- 将完成的多边形路径加入结果列表。
- 重复上述过程,直到所有边都被标记为已访问,得到所有拆分后的多边形。
注:由于所有节点度数均为偶数,交叉节点度数大于2,该算法可保证遍历出所有不重叠的多边形面。若需区分内外阴影区域,可后续结合节点坐标计算多边形面积的符号(顺时针/逆时针),但拆分过程无需依赖坐标。
Python 实现代码
def split_into_polygons(graph): visited_edges = set() polygons = [] def get_edge(u, v): # 返回无向边的唯一标识 return tuple(sorted((u, v))) for start_node in graph: # 检查起点是否存在未访问的边 has_unvisited = any(get_edge(start_node, neighbor) not in visited_edges for neighbor in graph[start_node]) if not has_unvisited: continue current_node = start_node polygon = [current_node] while True: next_node = None # 寻找下一个未访问的邻居节点 for neighbor in graph[current_node]: edge = get_edge(current_node, neighbor) if edge not in visited_edges: next_node = neighbor visited_edges.add(edge) break if not next_node: break # 理论上不会触发,因所有节点度数为偶数 polygon.append(next_node) current_node = next_node # 回到起点,完成当前多边形 if current_node == start_node: polygons.append(polygon) break return polygons # 示例图的图结构(模拟) sample_graph = { 1: [22, 11, 10], 2: [11, 12], 3: [12, 15, 9], 4: [15, 16], 5: [16, 21, 17], 6: [17, 20, 18], 7: [18, 19], 8: [22, 10], 9: [12, 14], 10: [1, 8], 11: [1, 2], 12: [2, 3, 9], 14: [9], 15: [3, 4], 16: [4, 5], 17: [5, 6], 18: [6, 7], 19: [7], 20: [6], 21: [5], 22: [1, 8] } # 调用并输出结果 result = split_into_polygons(sample_graph) print(result)
Lua 实现代码
function splitIntoPolygons(graph) local visitedEdges = {} local polygons = {} local function getEdge(u, v) -- 返回无向边的唯一标识字符串 return u < v and (u .. "-" .. v) or (v .. "-" .. u) end for startNode, _ in pairs(graph) do -- 检查起点是否存在未访问的边 local hasUnvisited = false for _, neighbor in ipairs(graph[startNode]) do local edge = getEdge(startNode, neighbor) if not visitedEdges[edge] then hasUnvisited = true break end end if not hasUnvisited then goto continue end local currentNode = startNode local polygon = {currentNode} while true do local nextNode = nil -- 寻找下一个未访问的邻居节点 for _, neighbor in ipairs(graph[currentNode]) do local edge = getEdge(currentNode, neighbor) if not visitedEdges[edge] then nextNode = neighbor visitedEdges[edge] = true break end end if not nextNode then break end table.insert(polygon, nextNode) currentNode = nextNode -- 回到起点,完成当前多边形 if currentNode == startNode then table.insert(polygons, polygon) break end end ::continue:: end return polygons end -- 示例图的图结构(模拟) local sampleGraph = { [1] = {22, 11, 10}, [2] = {11, 12}, [3] = {12, 15, 9}, [4] = {15, 16}, [5] = {16, 21, 17}, [6] = {17, 20, 18}, [7] = {18, 19}, [8] = {22, 10}, [9] = {12, 14}, [10] = {1, 8}, [11] = {1, 2}, [12] = {2, 3, 9}, [14] = {9}, [15] = {3, 4}, [16] = {4, 5}, [17] = {5, 6}, [18] = {6, 7}, [19] = {7}, [20] = {6}, [21] = {5}, [22] = {1, 8} } -- 调用并输出结果 local result = splitIntoPolygons(sampleGraph) for _, poly in ipairs(result) do io.write("[") for i, node in ipairs(poly) do if i > 1 then io.write(", ") end io.write(node) end io.write("]\n") end
内容的提问来源于stack exchange,提问作者AJ123
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