Watershed Segmentation | 555Tools — Online Tools for FPGA & Algorithm Engineers

Image AlgorithmsTool Introduction

Watershed segmentation treats a grayscale image as terrain, expanding from marker points (distance map local maxima) via BFS. Teaching focus: raw watershed over-segmentation problem → marker-controlled watershed solution. Three-step visualization: binarization → distance transform heatmap → marker watershed result.

Key Formula / Principle

1. Binarization (Otsu or given threshold)
2. Distance transform (chamfer 3-4 two-pass scan)
3. Marker extraction (distance map local maxima + minDist filter)
4. BFS expansion (assign labels from marker regions)

Data Processed Locally|All computations run in your browser. Images, formulas, state machine definitions, and any other input data are never sent to any server.

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