Скачать или смотреть Boundary Detection using Morphological Gradient

🔍 Project Title: Boundary Detection using Morphological Gradient

In this video, we demonstrate how to extract the boundary of an object in an image using the Morphological Gradient method in OpenCV.

This method uses basic morphological operations — dilation and erosion — to compute the gradient (difference), which effectively highlights the edges or boundaries of objects.

🧠 Concept Covered:

Image preprocessing (grayscale, thresholding)

Dilation and erosion

Morphological gradient formula

Overlaying boundary on original image

Visualization using Matplotlib


💻 Tools & Technologies:

Python

OpenCV

NumPy

Matplotlib


📊 Results:

Original Image

Morphological Gradient (Boundary)

Boundary Overlayed on Original Image


🧩 Mathematical Formula:

 G(x, y) = (I \oplus B)(x, y) - (I \ominus B)(x, y)  where
= Input image
= Structuring element (kernel)

🎯 Applications:

Object recognition

Medical imaging

Industrial inspection

Shape detection


📚 Source Code:

Available in the video and description section.

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#OpenCV #ImageProcessing #MorphologicalGradient #BoundaryDetection #ComputerVision #PythonProject #OpenCVTutorial




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opencv project, morphological gradient, boundary detection, image processing, computer vision, edge detection, python opencv, digital image processing, openCV tutorial, morphological operations, erosion dilation, morphological gradient opencv, openCV image boundary detection, python project for beginners, image analysis, computer vision projects


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High-quality apple with boundary overlay

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