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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.
--- 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--- 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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