Detecting the position of the fish robot using the color segment algorithm

Abstract

In recently, detection of the object is foremost but it depends on an object and environment. An object can be detected either by its shape or color. Color is an essential for pattern recognition and computer vision, it is an attractive feature because of its simplicity and its robustness to scale changes and object positions. Generally, the color of an object depends on its characteristics of the perceiving eye and brain. Physically, objects can be said to have the color of the light leaving their surfaces. In the aquarium different color fish robots are mimic the natural fish. Unfortunately, in the underwater medium, the colors are modified by attenuation and difficult to identify the color for moving objects. We consider the fish motion as a moving object and coordinates are found at every instinct of the aquarium to detect the position of the fish robot using Simulink. In this, we proposed to identify the particular object by their color and its trajectory motion of the object throughout time has to be found. It was verified by the performance test of detecting the position of the fish robot.