képorientáció

Képorientáció, often translated as image orientation, refers to the process of determining the correct alignment or perspective of a digital image. This is crucial for various applications, including computer vision, image processing, and digital archiving. Without proper képorientáció, images may appear upside down, sideways, or rotated incorrectly, hindering their usability and interpretation.

Several methods exist for képorientáció. One common approach involves analyzing image features such as edges, corners, or text patterns. Algorithms can detect characteristic orientations of these features and infer the overall image rotation. Another technique utilizes metadata embedded within the image file, such as EXIF data, which can store orientation information captured by the camera. In cases of uncertainty, human intervention may be required to manually correct the orientation.

Accurate képorientáció is essential for tasks like object recognition, facial detection, and document analysis. For instance, a rotated document image might cause an optical character recognition (OCR) system to fail. Similarly, a misoriented photograph can disrupt the performance of facial recognition software. The goal of képorientáció is to ensure that images are presented in a standard and understandable manner, facilitating further automated processing or human viewing.