from itertools import product
from heapq import heappush, heappop

class Dijkstra:
    def __init__(self, N):
        self.N = N # #vertices
        self.E = [[] for _ in range(N)]

    def add_edge(self, init, end, weight, undirected=False):
        self.E[init].append((end, weight))
        if undirected: self.E[end].append((init, weight))
    
    def distance(self, s):
        INF = float('inf')
        self.dist = [INF] * self.N # the distance of each vertex from s
        self.prev = [-1] * self.N # the previous vertex of each vertex on a shortest path from s
        visited = [False] * self.N
        n_visited = 0 # #(visited vertices)
        heap = []
        heappush(heap, (0, -1, s))
        while heap:
            d, p, v = heappop(heap)
            if visited[v]: continue # (s,v)-shortest path is already calculated
            self.dist[v] = d; self.prev[v] = p; self.visited[v] = True
            n_visited += 1
            if n_visited == self.N: break
            for u, c in self.E[v]:
                if visited[u]: continue
                temp = d + c
                if self.dist[u] > temp: heappush(heap, (temp, v, u))
        return self.dist
    
    def shortest_path(self, t):
        P = []
        prev = self.prev
        while True:
            P.append(t)
            t = prev[t]
            if t == -1: break
        return P[::-1]

H, W = map(int, input().split())
dijkstra = Dijkstra(H * W)

def vtx(i, j): return i*W + j
def coord(n): return divmod(n, W)

grid = [input() for _ in range(H)] # |string| = W
E = [[] for _ in range(H * W)]
ans = 0 if grid[0][0] == '.' else 1
for i, j in product(range(H), range(W)):
    v = vtx(i, j)
    check = [vtx(i+dx, j+dy) for dx, dy in [(1, 0), (0, 1)] if i+dx <= H-1 and j+dy <= W-1]
    for u in check:
        x, y = coord(u)
        if grid[i][j] == '.' and grid[x][y] == '#':
            dijkstra.add_edge(v, u, 1)
        else:
            dijkstra.add_edge(v, u, 0)
dist = dijkstra.distance(0)
ans += dist[vtx(H-1, W-1)]
print(ans)


### FIXED CODE ###

from itertools import product
from collections import deque

def zero_one_bfs(E, s, init=0):
    N = len(E)
    order = [-1] * N # a bfs ordering of each vertex
    dist = [-1] * N # the distance of each vertex from s
    dq = deque([(s, init)]) # (vertex, dist)
    num = 0 # current ordering
    while dq:
        v, d = dq.popleft()
        if order[v] < 0: # visited v for the first time
            order[v] = num; dist[v] = d
            num += 1
            for u, w in E[v]:
                if order[u] >= 0: continue
                if w == 0: dq.appendleft((u, d))
                else: dq.append((u, d+1))
    return order, dist

H, W = map(int, input().split())

def vtx(i, j): return i*W + j
def coord(n): return divmod(n, W)

grid = [input() for _ in range(H)] # |string| = W
E = [[] for _ in range(H * W)]
for i, j in product(range(H), range(W)):
    v = vtx(i, j)
    check = [vtx(i+dx, j+dy) for dx, dy in [(1, 0), (0, 1)] if i+dx <= H-1 and j+dy <= W-1]
    for u in check:
        x, y = coord(u)
        if grid[i][j] == '.' and grid[x][y] == '#':
            E[v].append((u, 1))
        elif grid[i][j] == '#' and grid[x][y] == '.':
            E[v].append((u, 0))
        else:
            E[v].append((u, 0))
_, dist = zero_one_bfs(E, 0, 0 if grid[0][0] == '.' else 1)
print(dist[vtx(H-1, W-1)])