An Automatic Analysis Method for Seabed Mineral Resources Based on Image Brightness Equalization

Abstract

Since the beginning of the 21st century, the exploration of marine resources has become increasingly frequent, it is increasingly recognized that marine resources play a vital role in human development. However, there are still some problems such as real-time, accurancy and validity, and many places worth exploring in depth analysis of seabed mineral resources. The main purpose of this paper is to apply image process and filter technology, and then analysis of seabed image clarity, accurate statistical coverage indicators seabed mineral resources, so as to realize forecasting undersea resources distribution in the area. The focus of this paper is to solve the problem of the coverage accuracy of seabed black connected domain by adjusting the brightness equalization algorithm and setting the Setting Region Of(ROI) area and the window Histogram Equalization(HE). In order to achieve the purpose of evaluation of sea area resources, a series of such as color correction, bilater filter, window HE and binarization processing such as image preprocessing algorithm, accurate statistical coverage of seabed mineral resources. In this article, video image processing based on the qt environment, including export processing of video streams and index data, generate clarity evaluation and black pieces connected domain coverage rate curve, can achieve more accurate and stable the indicators of seabed image detection the prediction of the accurate statistics of image coverage of seabed ore is achieved in the paper, which lays a foundation for the exploration of deep learning in the future.