Akademik Veri Yönetim Sistemi
1. International Technological Sciences And Design Symposium, Giresun, Türkiye, 27 - 29 Haziran 2018, ss.366-367, (Özet Bildiri)
Identification and detection of an image of an object without human need is important in terms of minimizing human errors and delays. This issue is of vital importance, especially in cell studies and cancer detection in medicine. In this work, MATLAB programming language is used to recognize the colors and geometric shapes of objects in a scene and classify them according to their shapes and images. The colors of the objects are determined by the principle that the individual averages of the red, green, and blue color codes (RGB) in the pixels of the object detected by the algorithm are associated with the closest color codes (RGB) of the colors in the generated color library. When a shape is defined, the area of the object and the area of the rectangle surrounding the object are found. Then the shape is determined according to the ratio of these two areas. Accordingly, the object is defined as a triangle, a square, a rectangle, or a circle from geometric shapes