An image, such as a picture or video frame, serves as the input for image processing, a subset of signal processing; the output of image processing might be another image or a collection of parameters or characteristics of the original image. The term is often used to describe the process of modifying an input picture so that it meets the needs of a certain application. Devices designed specifically for imaging emit signals that may be interpreted as images. Since the time of Galileo Galilei and Isaac Newton, one of the primary goals of scientific research has been the development and improvement of imaging technologies. When comparing digital computers to analogue electrical and optical information processing systems, the fact that no hardware changes are required when reprogramming digital computers to do new jobs is by far the most significant benefit of digital computers. The same computer may be used to provide a solution to any issue by picking or building the right software to run on it. With this quality, digital computers are also a great tool for handling picture signals. Integrating digital computers into imaging systems enables them to execute any operation, not only the element-wise and integral signal transformations typical of analogue optics, such as spatial and temporal Fourier analysis, signal convolution, and correlation. This allows for the integration of optical information processing with digital signal processing, hence removing the former's primary constraint. The end outcome, information about intermediate steps, etc. of the system are all shown on a GUI for the user's convenience. Verification of the developed system was performed on 110 X-ray pictures, 59 of which were PTB and 51 of which were NON-TB. The algorithm accurately identified 49 cases of tuberculosis and 55 instances of NON-TB. Therefore, we conclude that the detection accuracy is 94.5%

Image processing, Graphical System, Digital Computers, Convolution, Fourier analysis