Implementation of Watershed Algorithm in Image Segmentation
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Resource Overview
Implementation of Watershed Algorithm in Image Segmentation - Image Grayscale Transformation - Image Enhancement - Multidimensional Image Processing
Detailed Documentation
This article discusses the implementation of the watershed algorithm for image segmentation. The algorithm analyzes grayscale variations in images and applies image enhancement techniques to achieve segmentation of multidimensional images. The watershed transform typically involves converting the image to grayscale, computing gradients to identify intensity transitions, and applying marker-controlled watershed segmentation to prevent over-segmentation. Key functions in implementation may include grayscale conversion, morphological operations for gradient calculation, and marker extraction using regional minima or user-defined seeds.
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