# genpark-image-connected-components-labeling-skill

> genpark-image-connected-components-labeling-skill — alpha-park-genpark-image-connected-components-labeling-skill. Use this tool when you need to extract distinct segments from binary masks in images, as it solves problems in image processing and object detection by providing labeled connected components. It takes binary image masks as input and outputs labeled segments, enabling further analysis and processing. Utilize this skill in computer vision applications where identifying separate objects or regions is crucial.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-image-connected-components-labeling-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-image-connected-components-labeling-skill

## Description

Two-pass connected-component labeling (CCL) with disjoint-set Union-Find for binary mask segment extraction.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-image-connected-components-labeling-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpha-park-genpark-image-connected-components-labeling-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-image-connected-components-labeling-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-image-connected-components-labeling-skill/pull`

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