képérzékeln

Képérzékeln is a Hungarian term that translates to "image sensing" or "image perception" in English. It refers to the process by which a system, whether biological or artificial, detects and interprets visual information from its surroundings. In the context of biological vision, it encompasses the entire chain of events from light entering the eye to the brain processing these signals to form a coherent understanding of the visual scene. This involves the photoreceptor cells in the retina, neural pathways, and higher-level cognitive functions.

In artificial intelligence and computer vision, képérzékeln describes the capabilities of machines to "see" and understand images. This field involves developing algorithms and models that can identify objects, classify scenes, detect patterns, and extract meaningful data from digital images or video streams. Techniques used in artificial képérzékeln include image processing, feature extraction, machine learning, and deep learning, particularly convolutional neural networks. Applications range from autonomous driving and medical imaging analysis to surveillance and augmented reality. The goal is to enable machines to perform visual tasks that were previously exclusive to humans.