Description: Two-dimensional (2D) images are visual representations characterized by having only two dimensions: width and height. These images are fundamental in the field of computer vision, where they are used to interpret and analyze visual content. 2D images can be captured through devices such as digital cameras, scanners, or generated by graphic design software. Their representation is based on a matrix of pixels, where each pixel contains information about the color and intensity of light at that specific location. This structure allows images to be processed and analyzed by computer vision algorithms, facilitating tasks such as pattern recognition, image segmentation, and object detection. The quality and resolution of 2D images are crucial, as they influence the accuracy of the analyses performed. In summary, two-dimensional images are an essential component in the interaction between the visual world and computational systems, enabling a wide range of applications across various disciplines.
History: Two-dimensional images have their roots in the history of photography and visual art. Since the invention of the camera in the 19th century, 2D images have evolved over time. With the advent of computing in the 1960s, techniques began to be developed for digitizing and processing images, leading to the creation of image editing software and computer graphics tools. As technology advanced, the representation and manipulation of 2D images became more sophisticated, allowing applications in fields such as medicine, engineering, and entertainment.
Uses: Two-dimensional images are used in a variety of applications, including digital photography, graphic design, advertising, medicine (such as in X-rays and MRIs), and computer vision. In the latter field, they are employed for facial recognition, object detection, and image segmentation, among others. They are also fundamental in the creation of video games and animations, where they are used to represent characters and environments.
Examples: Examples of two-dimensional images include digital photographs taken with cameras, graphics created in design software like Adobe Photoshop, and screenshots of applications. In the medical field, X-rays are a classic example of 2D images used for diagnosis. In the field of computer vision, input images for facial recognition algorithms are another practical example.
