scikit-image
CommunityUnlock insights from your images.
Education & Research#image processing#computer vision#segmentation#image analysis#scientific imaging#feature detection
Authortondevrel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive toolkit for scientific image analysis, enabling you to process, segment, and extract meaningful information from images.
Core Features & Use Cases
- Image Preprocessing: Denoise, enhance contrast, and convert images to suitable formats.
- Segmentation: Isolate objects of interest using methods like watershed and superpixels.
- Feature Detection & Measurement: Identify keypoints, textures, and quantify object properties.
- Use Case: Analyze microscopy images to automatically count cells, measure their size, and identify distinct regions.
Quick Start
Use the scikit-image skill to load an image file named 'sample.png', convert it to grayscale, and apply a Gaussian blur with a sigma of 2.0.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scikit-image Download link: https://github.com/tondevrel/scientific-agent-skills/archive/main.zip#scikit-image Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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