题目链接:uva 1526 - Edge Detection
题目大意:先给出width,表示说一个w*w的图片,每个位置上的数值代表该位置的像素,现在有一种算法用于装换图片,转换后图片的表示方式为,每个位置上的数值为原先图上位置的像素与周围8个位置像素之差的绝对值的最大值。
然后图的表示给出和要求输出方式为run length encoding,即由若干对两位数组成,分别表示像素和连续个数。给出原图的RLE,输出转换后的RLE。
解题思路:首先会受到影响的肯定为交界处,所以找出所有的交界处,将周围8个数取出单独考虑,在查找值时用二分。
#include <stdio.h> #include <string.h> #include <stdlib.h> #include <algorithm> using namespace std; const int N = 1005; int inN, outN, inData[N][2]; int width, total; struct state { int val, pos; }outData[N*9]; void init () { total = inN = outN = 0; memset(inData, 0, sizeof(inData)); int a, b; while (scanf("%d%d", &a, &b) == 2) { inData[inN][0] = a; inData[inN][1] = total; total += b; if (0 == b) break; ++inN; } } int getValue (int pos) { int l = 0, r = inN - 1; while (l <= r) { int mid = (l + r) / 2; if (inData[mid][1] <= pos) l = mid + 1; else r = mid - 1; } return inData[r][0]; } int cal(int pos) { int r = pos / width; int l = pos % width; int ans = 0; for (int i = r - 1; i <= r + 1; i++) { for (int j = l - 1; j <= l + 1; j++) { int p = i * width + j; if (i < 0 || j < 0 || j >= width || p >= total || p == pos) continue; int t = abs(getValue(p) - getValue(pos)); ans = max(ans, t); } } return ans; } inline bool cmp (const state& a, const state& b) { return a.pos < b.pos; } void solve () { for (int i = 0; i <= inN; i++) { int r = inData[i][1] / width; int l = inData[i][1] % width; for (int j = r - 1; j <= r + 1; j++) { for (int k = l - 1; k <= l + 1; k++) { int p = j * width + k; if (j < 0 || k < 0 || p >= total || p < 0) continue; outData[outN].val = cal(p); outData[outN].pos = p; ++outN; } } } sort (outData, outData + outN, cmp); state cur = outData[0]; for (int i = 0; i < outN; i++) { if (cur.val == outData[i].val) continue; printf("%d %d\n", cur.val, outData[i].pos - cur.pos); cur = outData[i]; } printf("%d %d\n", cur.val, total - cur.pos); printf("0 0\n"); } int main () { while (scanf("%d", &width) == 1 && width) { init (); printf("%d\n", width); solve (); } printf("0\n"); return 0; }