Description: Binary image processing refers to the manipulation of images that contain only two possible values for each pixel: black and white. This type of image is fundamental in the field of computer vision, as it simplifies visual information and facilitates pattern analysis. Through various algorithms, tasks such as filtering, edge detection, and segmentation can be performed, which are essential for identifying and classifying objects within an image. Binary images are particularly useful in applications where quick decision-making is required, such as in character recognition systems or shape detection. The simplicity of binary images also reduces computational load, allowing for more efficient processing on resource-limited devices. Additionally, the use of binary image processing techniques can enhance the quality of results in more complex applications by providing a solid foundation upon which more advanced image analysis methods can be applied. In summary, binary image processing is a key tool in computer vision, enabling effective and efficient transformation and analysis of visual data.
