CV Remove Line For Free

Step 1: Detect and find contours in your image. Step 2: Loop over contours individually. Step 3: Determine if the contour is bad and should be removed according to some criterion. Step 4: Accumulate a mask of bad contours to be removed.

Position the insertion point in the paragraph just before where the line appears. Choose Borders and Shading from the Format menu. Word displays the Borders and Shading dialog box. Make sure the Borders tab is selected. To remove the border, click on the None option. Click on OK to close the dialog box.

Click in any cell to show the Table Design tab. On the Table Design tab, in the Line Style box, click No Border. Click the borders you want to erase. When you're done, on the Table Design tab, click Border Painter to change the paintbrush back to a cursor.

1 AnswerConvert image to grayscale.Otsu's threshold to get binary image.Create special horizontal kernel and morph open to detect horizontal lines.Find contours on mask and "fill in" the detected horizontal lines with white to effectively remove horizontal lines.Create vertical kernel and repair image with morph close.

Select the line you want to change. If you want to change multiple lines, select the first line, and then press and hold CTRL while you select the other lines. On the Format tab, click the arrow next to Shape Outline. Note: If you don't see the Format tab, make sure you've selected the line.

To draw the contours, cv. drawContours function is used. It can also be used to draw any shape provided you have its boundary points. Its first argument is source image, second argument is the contours which should be passed as a Python list, third argument is index of contours (useful when drawing individual contour.

Mean FilterThe mean filter is used to blur an image in order to remove noise. It involves determining the mean of the pixel values within a n x n kernel. The pixel intensity of the center element is then replaced by the mean. This eliminates some of the noise in the image and smooths the edges of the image.