Erosion (morphology)

Related lectures (10)

Explores dilation, erosion, opening, closing, and graylevel morphology in image processing.

Covers basic to advanced morphological operations for image analysis workflows.

Introduces segmentation techniques, from intensities to objects and measurements generation.

Introduces local normalization and morphological operators for shape analysis in image processing.

Covers the notation and key concepts related to digital images and 2D signal representations.

Summarizes image segmentation, morphological filters, and converting pixels to objects.

Introduces the basics of image processing, covering point and spatial operators, histogram processing, and transform-domain operations.

Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.

Introduces image processing basics, covering vector vs matrix images, RGB color system, grayscale, and image manipulation libraries.

Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.

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