AgentSkillsCN

image-preprocessing

在分析前，利用 Canvas API 对图像直方图进行归一化处理，以有效保留黑色素特征。

SKILL.md
--- frontmatter
name: image-preprocessing
description: Normalizes image histograms to preserve melanin features using Canvas API before analysis
license: MIT
compatibility: opencode
metadata:
  audience: developers
  workflow: clinical-pipeline

What I do

I preprocess images to normalize histograms while preserving melanin features critical for skin analysis. I use the Canvas API for efficient pixel manipulation and contrast enhancement.

When to use me

Use this when:

  • •Calibration is complete and you need to prepare the image
  • •You need to enhance contrast for better lesion detection
  • •Histogram normalization is required before segmentation

Key Concepts

  • •Histogram Equalization: Spreads out pixel intensity values
  • •Melanin Preservation: Enhances features without losing skin pigmentation info
  • •Canvas API: Browser canvas for image manipulation
  • •image_preprocessed: State flag after preprocessing complete

Source Files

  • •services/vision.ts: Preprocessing implementation
  • •components/AnalysisIntake.tsx: Image upload component

Code Patterns

  • •Use Canvas API for pixel-level operations
  • •Apply histogram equalization that preserves melanin contrast
  • •Ensure output is suitable for segmentation algorithms

Operational Constraints

  • •Must preserve features critical for dermatological analysis
  • •Use tf.tidy() or explicit dispose() for any tensor operations
  • •Work in Canvas pixel space, not tensor space