How To Detect Objects Using Image Segmentation OpenCV Python

Опубликовано: 11 Сентябрь 2024
на канале: Pyresearch

Image Segmentation

This code helps you to understand and draw boundaries on objects of a particular image.

Description

Here is the approach that I used to detect the blocks:

1) Converted the image to grayscale
2) Applied threshold (simple binary threshold, with a handpicked value of 150 as the threshold value)
3) Applied dilation to thicken lines in the image, leading to more compact objects and fewer white space fragments. Used a high value for a number of iterations, so dilation is very heavy (13 iterations, also handpicked for optimal results).
4) Identified contours of objects in a resulting image using the OpenCV find contours function.
5) Drew a bounding box (rectangle) circumscribing each contoured object - each frames a block of text.

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