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Rudimentary Apple Detector Using Thresholding and Morphological Operations
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Rudimentary Apple Detector Using Thresholding and Morphological Operations
- Problem was simplified by making the assumption that apples to be detected were near/at the red color spectrum
- Input image was converted into HSV color-space since hue stays constant in variable illumination environments, while RGB doesn’t.
- Input image is thresholded by red spectrum in HSV, changing pixels outside of red to black.
- Image is then converted to binary, keeping red colored pixels in white, and the rest black.
- Morphological operations are applied to the binary image, removing noise and separating individual blobs.
- Remaining blobs are filtered by their effective area on the image. Keeping those within the specified area.
- Detected apples are circled in the output image.
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