Algorithms of Distance, color & Shape Detection for 2-D Images

Abstract

This paper represents our work on non contact distance calculation method. It is based on pixel variation of 2D images. This can be done by referencing two points in the image frames. The methodology of distance calculation starts with capturing of particular object image from any distances. Again capture another image of same object with some known distance. If an object goes far from the camera the object has a reduced size in the image. As the object moves closer to the camera the object becomes comparatively bigger. Thus we get the variation of pixel size between two images. Using the pixel variation we can calculate the distance of the object from the camera .This paper focuses on recognition of 2D shapes of objects such as square, circle, triangle, rectangle and ellipse as well as colors of objects. The algorithm was simulated and developed using MATLAB.