Open AccessModelling vision angles of optical camera zoom using image processing algorithm
Author(s) -
Heba Kh. Abbas,
Haidar J. Mohamad,
Anwar H. Al-Saleh,
Ali A. Al-Zuky
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/571/1/012117
Subject(s) - zoom , computer vision , artificial intelligence , camera auto calibration , digital camera , computer science , feature (linguistics) , image processing , digital image processing , machine vision , matching (statistics) , camera resectioning , image resolution , algorithm , image (mathematics) , computer graphics (images) , mathematics , optics , linguistics , philosophy , physics , statistics , lens (geology)
A challenge of adding a new feature to the optical properties of a camera is solved in this paper. Image processing gives the possibility to enhance the quality, resolution and details of images fast these days. Within this paper, the introduced algorithm used to determine the vision angles (horizontal and vertical) of a digital camera (Nikon). The quality and efficiency of the camera are evaluated using determine the spatial resolution of the captured images. A scale factor algorithm is used also in this paper. A mathematical model introduced to describe the camera angle vision. This model works with different zoom degrees and different camera-object distances. Thus, a general mathematical equation obtained which describes the real image. The comparisons between the real and resulted images give a strong matching with small error rate.