基于灰度共生矩阵的海洋溢油识别算法研究

如何通过图像处理和计算机视觉的方法,在可见光范围内,通过提取图像特征以达到分类识别海洋溢油的目的是溢油识别的一种新的尝试和思路。通过提取和优化视频图像的灰度共生矩阵参数特征,结合支持向量机(SVM)模式分类技术,实验并成功开发出具有实用价值的稳定的海洋溢油自动识别系统,验证了在可见光条件下通过视频图像处理技术可以较好地识别海洋溢油的思路。

Gray level co-occurrence matrix based marine oil spill recognition algorithm

With the help of image processing and computer vision,how to identify the marine oil spill by extracting the image features in the visible light range is a new attempt and a new idea to detect oil spill.By extracting and optimizing the parameters of gray level co-occurrence matrix(GLCM) features,combined with support vector machine(SVM) pattern classification technique,this article has experimented and successfully developed a practical and stable marine oil spill auto-identification system,verifying the idea of identifying marine oil spill by video image processing technology in the visible light condition.