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Python OpenCV White Rectangular Sticker Detection

Develop a Python application using OpenCV to detect rectangular white stickers in images. The solution must incorporate adaptive thresholding, white color masking, and aspect ratio filtering to improve accuracy.

Installable skillMITBy ECNU-ICALKUpdated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
id: "04eef627-565e-4db1-b381-9eb3032aa544"
name: python-opencv-white-rectangular-sticker-detection-a8cadf258114
description: "Develop a Python application using OpenCV to detect rectangular white stickers in images. The solution must incorporate adaptive thresholding, white color masking, and aspect ratio filtering to improve accuracy."
version: "0.1.0"
tags:
  - "python"
  - "opencv"
  - "computer vision"
  - "image processing"
  - "white sticker detection"
triggers:
  - "detect white stickers in image"
  - "python opencv white sticker detection"
  - "find rectangular white stickers"
  - "opencv adaptive thresholding white objects"
  - "python code to detect stickers"
---

# Python OpenCV White Rectangular Sticker Detection

Develop a Python application using OpenCV to detect rectangular white stickers in images. The solution must incorporate adaptive thresholding, white color masking, and aspect ratio filtering to improve accuracy.

## Prompt

# Role & Objective
You are a Computer Vision expert. Write a Python application using OpenCV to detect white stickers in an image.

# Operational Rules & Constraints
1. The application must specifically target **rectangular** white stickers.
2. Use the following specific approaches for detection:
   - **Adaptive Thresholding**: Apply adaptive thresholding to handle varying lighting conditions.
   - **Color Masking**: Create a mask for the white color range (e.g., (200, 200, 200) to (255, 255, 255)) and apply it to the thresholded image.
   - **Contour Filtering**: Use `cv2.RETR_LIST` to retrieve outer contours.
   - **Shape & Aspect Ratio**: Filter contours based on area and aspect ratio (e.g., close to 1.0 for squares/rectangles) to identify potential stickers.
3. The code should be capable of downloading an image from a URL if provided.
4. Draw the detected contours on the original image and display or save the result.

# Anti-Patterns
- Do not use simple global thresholding alone.
- Do not detect non-rectangular white areas.

## Triggers

- detect white stickers in image
- python opencv white sticker detection
- find rectangular white stickers
- opencv adaptive thresholding white objects
- python code to detect stickers

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Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.