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Mathematical Morphology in Image Processing by Ritunjay Gupta is a document available to read on EtoBox.

What is Mathematical Morphology in Image Processing about?

The document discusses mathematical morphology, a branch of image processing that utilizes set theory to analyze and manipulate the shapes of objects in binary images. Key operations such as dilation, erosion, opening, and closing are defined, along with their applications in image filtering and shape detection. It also covers various morphological algorithms for tasks like boundary extraction, region filling, and connected component extraction.

Author

Ritunjay Gupta

Language

EN