opencv检测图片模糊度算法

来源：互联网发布：招商网站留言数据提取编辑：程序博客网时间：2024/05/29 15:06
/*检测模糊度  返回值为模糊度，值越大越模糊，越小越清晰，范围在0到几十，10以下相对较清晰，一般为5。 调用时可在外部设定一个阀值，具体阈值根据实际情况决定，返回值超过阀值当作是模糊图片。  算法所耗时间在1毫秒内*/int VideoBlurDetect(const cv::Mat &srcimg){cv::Mat img;cv::cvtColor(srcimg, img, CV_BGR2GRAY); // 将输入的图片转为灰度图，使用灰度图检测模糊度//图片每行字节数及高  int width = img.cols;int height = img.rows;ushort* sobelTable = new ushort[width*height];memset(sobelTable, 0, width*height*sizeof(ushort));int i, j, mul;//指向图像首地址  uchar* udata = img.data;for (i = 1, mul = i*width; i < height - 1; i++, mul += width)for (j = 1; j < width - 1; j++)sobelTable[mul + j] = abs(udata[mul + j - width - 1] + 2 * udata[mul + j - 1] + udata[mul + j - 1 + width] - \udata[mul + j + 1 - width] - 2 * udata[mul + j + 1] - udata[mul + j + width + 1]);for (i = 1, mul = i*width; i < height - 1; i++, mul += width)for (j = 1; j < width - 1; j++)if (sobelTable[mul + j] < 50 || sobelTable[mul + j] <= sobelTable[mul + j - 1] || \sobelTable[mul + j] <= sobelTable[mul + j + 1]) sobelTable[mul + j] = 0;int totLen = 0;int totCount = 1;uchar suddenThre = 50;uchar sameThre = 3;//遍历图片  for (i = 1, mul = i*width; i < height - 1; i++, mul += width){for (j = 1; j < width - 1; j++){if (sobelTable[mul + j]){int   count = 0;uchar tmpThre = 5;uchar max = udata[mul + j] > udata[mul + j - 1] ? 0 : 1;for (int t = j; t > 0; t--){count++;if (abs(udata[mul + t] - udata[mul + t - 1]) > suddenThre)break;if (max && udata[mul + t] > udata[mul + t - 1])break;if (!max && udata[mul + t] < udata[mul + t - 1])break;int tmp = 0;for (int s = t; s > 0; s--){if (abs(udata[mul + t] - udata[mul + s]) < sameThre){tmp++;if (tmp > tmpThre) break;}else break;}if (tmp > tmpThre) break;}max = udata[mul + j] > udata[mul + j + 1] ? 0 : 1;for (int t = j; t < width; t++){count++;if (abs(udata[mul + t] - udata[mul + t + 1]) > suddenThre)break;if (max && udata[mul + t] > udata[mul + t + 1])break;if (!max && udata[mul + t] < udata[mul + t + 1])break;int tmp = 0;for (int s = t; s < width; s++){if (abs(udata[mul + t] - udata[mul + s]) < sameThre){tmp++;if (tmp > tmpThre) break;}else break;}if (tmp > tmpThre) break;}count--;totCount++;totLen += count;}}}//模糊度float result = (float)totLen / totCount;delete[] sobelTable;sobelTable = NULL;return result;}
阅读全文
0 0