Blob detection using Python 2 7 Opencv

Published: 13 November 2023
on channel: CodeFix

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Sure, let's create a simple tutorial on blob detection using Python 2.7 and OpenCV. Note that Python 2.7 is outdated and no longer supported, so I strongly recommend using Python 3. However, if you have specific requirements for Python 2.7, you can still follow this tutorial.
Blob detection is a computer vision technique used to identify and locate objects or regions in an image that differ from the surrounding background. In this tutorial, we'll explore how to perform blob detection using Python 2.7 and the OpenCV library.
Make sure you have Python 2.7 installed on your system. You can install OpenCV using:
Create a Python script (e.g., blob_detection.py) and follow the steps below:
Import Libraries:
Read Image:
Blob Detector Parameters:
Create Detector:
Detect Blobs:
Draw Blobs:
Display Result:
Wait for User Input:
Cleanup:
You've successfully implemented a simple blob detection algorithm using Python 2.7 and OpenCV. Experiment with different parameter values to fine-tune the blob detection process for your specific use case. If possible, consider upgrading to Python 3 for better support and compatibility with the latest libraries.
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