Artificial Neural Networks (RNAs) are support tools for image processing, although they are no longer considered the best default solution for any classification or regression problem. RNAs retain their role as non-parametric classifiers, non-linear regression operators, or unsupervised function extractors.
The digital image is a process designed to recognize objects of interest in an image through the use of electronic sensors and advanced computer techniques in order to improve image quality parameters. It contains intrinsic difficulties due to the fact that imaging is basically a many-to-one mapping, ie characterization of 3 d objects can be deduced from a single image or multiple images. Several problems associated with low contrast images, blurry images, noisy images, image conversion to digital form, transmission, manipulation, manipulation and storage of large volume images led to the development of efficient image recognition and processing algorithms. Digital imaging or computer vision involves image processing and pattern recognition techniques.