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Detecting the Position of the Fish Robot using the Color Segment Algorithm

机译：使用颜色段算法检测鱼机机器人的位置

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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.
机译：最近，对象的检测是最重要的，但这取决于对象和环境。可以通过其形状或颜色来检测对象。颜色对于模式识别和计算机视觉至关重要，它是一个有吸引力的特征，因为它的简单性和稳定性的变化和对象位置。通常，物体的颜色取决于其感知眼睛和大脑的特征。物理上，可以说对象具有留下其表面的光的颜色。在水族馆中，不同的彩色鱼机器人是模仿自然鱼。不幸的是，在水下介质中，通过衰减来修改颜色，并且难以识别移动物体的颜色。我们认为鱼动作为移动物体和坐标，在水族馆的每个本能都发现了使用Simulink检测鱼机器人的位置。在此，我们建议通过它们的颜色识别特定对象，并且必须找到该物体的轨迹运动。通过检测鱼机器人位置的性能测试来验证。

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