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Development of AUV for Data Acquisition in Underwater Environment

机译:水下环境中数据采集自动水下机器人的开发

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In this project, we are designing and developing an acoustic unmanned vehicle to acquire images in the deep sea ocean environment for effective surveillance in a very low-cost manner, compared to the other models available in defense labs. Here, we are using a simple AUV that has been designed and implemented successfully for image acquisition. After the image acquisition is done, the AUV will be taken out from the underwater environment, and the data acquired during the movement of the vehicle will be retrieved. Then, the acquired image will be transferred to MATLAB for further processing. In this stage, the image will be enhanced using frequency domain-based image enhancement, as well as histograms, for cross verifying the performance of the image enhancement. The principal objective of enhancement is to process an image so that the result is more suitable than the original image for a specific application. Image enhancement processing methods fall into two broad categories: spatial domain methods and frequency domain methods, which are left to the end-user at the final stage.
机译:与国防实验室中的其他模型相比,在这个项目中,我们正在设计和开发一种声学无人驾驶车辆,以在深海环境中获取图像,以非常低成本的方式进行有效监视。在这里,我们使用一个简单的AUV,该AUV已成功设计和实现用于图像采集。图像采集完成后,将从水下环境中取出AUV,并检索车辆行驶过程中采集的数据。然后,获取的图像将被传输到MATLAB进行进一步处理。在此阶段,将使用基于频域的图像增强以及直方图来增强图像,以交叉验证图像增强的性能。增强的主要目的是对图像进行处理,以使结果比原始图像更适合特定的应用。图像增强处理方法分为两大类:空间域方法和频域方法,它们在最后阶段留给最终用户使用。

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