Image Rejection An image rejection occurs when a system decides that an incoming image is not suitable or does not meet the required standards. This can happ...
An image rejection occurs when a system decides that an incoming image is not suitable or does not meet the required standards. This can happen due to several factors, such as:
Image quality: The image might be blurry, too dark or light, or contain artifacts that make it difficult for the system to recognize.
Resolution: The image might be too low resolution, which can make it difficult for the system to discern details.
Content: The image might contain objects or textures that are not recognized by the system, such as those not in the training data.
Geometric constraints: The image might not fit within the system's field of view, or its shape might not be compatible with the image format.
Image rejection is a crucial step in image processing as it allows the system to eliminate irrelevant or noisy data, ensuring that only high-quality and relevant information is used for further processing.
Examples:
A facial recognition system might reject an image of a person with a hat on.
A medical imaging system might reject an X-ray image of a bone fracture due to poor image quality.
A self-driving car might reject an image of a road with no lanes or traffic due to low resolution