- //去除二值图像边缘的突出部
- //uthreshold、vthreshold分别表示突出部的宽度阈值和高度阈值
- //type代表突出部的颜色,0表示黑色,1代表白色
- void delete_jut(Mat& src, Mat& dst, int uthreshold, int vthreshold, int type)
- {
- int threshold;
- src.copyTo(dst);
- int height = dst.rows;
- int width = dst.cols;
- int k; //用于循环计数传递到外部
- for (int i = 0; i < height - 1; i++)
- {
- uchar* p = dst.ptr<uchar>(i);
- for (int j = 0; j < width - 1; j++)
- {
- if (type == 0)
- {
- //行消除
- if (p[j] == 255 && p[j + 1] == 0)
- {
- if (j + uthreshold >= width)
- {
- for (int k = j + 1; k < width; k++)
- p[k] = 255;
- }
- else
- {
- for (k = j + 2; k <= j + uthreshold; k++)
- {
- if (p[k] == 255) break;
- }
- if (p[k] == 255)
- {
- for (int h = j + 1; h < k; h++)
- p[h] = 255;
- }
- }
- }
- //列消除
- if (p[j] == 255 && p[j + width] == 0)
- {
- if (i + vthreshold >= height)
- {
- for (k = j + width; k < j + (height - i)*width; k += width)
- p[k] = 255;
- }
- else
- {
- for (k = j + 2 * width; k <= j + vthreshold*width; k += width)
- {
- if (p[k] == 255) break;
- }
- if (p[k] == 255)
- {
- for (int h = j + width; h < k; h += width)
- p[h] = 255;
- }
- }
- }
- }
- else //type = 1
- {
- //行消除
- if (p[j] == 0 && p[j + 1] == 255)
- {
- if (j + uthreshold >= width)
- {
- for (int k = j + 1; k < width; k++)
- p[k] = 0;
- }
- else
- {
- for (k = j + 2; k <= j + uthreshold; k++)
- {
- if (p[k] == 0) break;
- }
- if (p[k] == 0)
- {
- for (int h = j + 1; h < k; h++)
- p[h] = 0;
- }
- }
- }
- //列消除
- if (p[j] == 0 && p[j + width] == 255)
- {
- if (i + vthreshold >= height)
- {
- for (k = j + width; k < j + (height - i)*width; k += width)
- p[k] = 0;
- }
- else
- {
- for (k = j + 2 * width; k <= j + vthreshold*width; k += width)
- {
- if (p[k] == 0) break;
- }
- if (p[k] == 0)
- {
- for (int h = j + width; h < k; h += width)
- p[h] = 0;
- }
- }
- }
- }
- }
- }
- }
OpenCV学习笔记之二值图像的边缘光滑处理
最新推荐文章于 2025-04-08 23:03:28 发布