line segmentation python code

Line segmentation is a crucial step in various image processing and computer vision tasks. Whether you're working with scanned documents, handwritten text recognition, or extracting information from images, the ability to segment lines of text can significantly enhance the accuracy of your algorithms. In this tutorial, we'll explore how to perform line segmentation using Python and the OpenCV library.
Let's start with a simple example where we'll perform line segmentation on a document image. We'll use the OpenCV library to read the image and apply line segmentation.
Read the Image:
Convert to Grayscale:
Binary Thresholding:
Morphological Operations:
Find Contours:
Extract Bounding Boxes:
Sort Bounding Boxes:
Sort the bounding boxes based on the y-coordinate to get the order of lines.
Draw Bounding Boxes:
Display Result:
Cleanup:
Wait for a key press and close the display windows.
This tutorial provides a basic example of line segmentation using Python and OpenCV. Depending on your specific use case, you may need to fine-tune parameters or explore more advanced techniques. Line segmentation is a fundamental step in document analysis, and understanding these concepts can help improve the accuracy of text extraction algorithms.
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