From 423e0c49d044ba938b4a3642f764a4cc76550119 Mon Sep 17 00:00:00 2001 From: ptslgaequ <2728416244@qq.com> Date: Sat, 30 Nov 2024 13:47:55 +0800 Subject: [PATCH] ADD file via upload --- 复杂算子优化系统1.cpp | 56 +++++++++++++++++++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 复杂算子优化系统1.cpp diff --git a/复杂算子优化系统1.cpp b/复杂算子优化系统1.cpp new file mode 100644 index 0000000..efd22e6 --- /dev/null +++ b/复杂算子优化系统1.cpp @@ -0,0 +1,56 @@ +#include +#include + +// 应用3×3 GaussianBlur到给定的二维数组src上,并将结果存到二维数组dst中 +void applyGaussianBlur(float src[][5], float dst[][5], int h, int w, float kernel[3][3]) { + // 遍历图像内部像素(忽略边界,只处理中心3×3区域对应的像素) + for (int i = 1; i < h - 1; i++) { + for (int j = 1; j < w - 1; j++) { + float sum = 0.0; + // 3×3 kernel卷积核加权平均计算 + for (int m = 0; m < 3; m++) { + for (int n = 0; n < 3; n++) { + sum += kernel[m][n] * src[i - 1 + m][j - 1 + n]; + } + } + dst[i][j] = sum; + } + } +} + +int main() { + // 输入图像矩阵(这里示例一个5×5的矩阵) + float image[5][5] = { + {1, 2, 3, 4, 5}, + {6, 7, 8, 9, 10}, + {11, 12, 13, 14, 15}, + {16, 17, 18, 19, 20}, + {21, 22, 23, 24, 25} + }; + // 常用的kernel_size=3的kernel + float kernel[3][3] = { + {1.0 / 16, 2.0 / 16, 1.0 / 16}, + {2.0 / 16, 4.0 / 16, 2.0 / 16}, + {1.0 / 16, 2.0 / 16, 1.0 / 16} + }; + float result[5][5]; + // 记录开始时间 + clock_t start_time = clock(); + applyGaussianBlur(image, result, 5, 5, kernel); + // 记录结束时间 + clock_t end_time = clock(); + double elapsed_time = (double)(end_time - start_time) / CLOCKS_PER_SEC; + + // 输出dst[][]矩阵结果 + printf("Gaussian Blur Result Matrix:\n"); + for (int i = 0; i < 5; i++) { + for (int j = 0; j < 5; j++) { + printf("%.2f ", result[i][j]); + } + printf("\n"); + } + // 输出运行时间 + printf("Elapsed time: %.6f seconds\n", elapsed_time); + + return 0; +} \ No newline at end of file