Texture Feature Extraction and Recognition of Underwater Target Image Considering Incomplete Tree Wavelet Decomposition

Abstract

Fu, Y., 2020. Texture feature extraction and recognition of underwater target image considering incomplete tree wavelet decomposition. In: Qiu, Y.; Zhu, H., and Fang, X. (eds.), Current Advancements in Marine and Coastal Research for Technological and Sociological Applications. Journal of Coastal Research, Special Issue No. 107, pp. 25-28. Coconut Creek (Florida), ISSN 0749-0208.Image texture feature extraction has become an important way of image retrieval, scene recognition and target location, which has become an important problem of image extraction and recognition. However, incomplete tree wavelet structure decomposition extraction will get better image clarity, which will be better for processing, such as preprocessing, image noise removal, contrast enhancement and so on. By analyzing the characteristics of image texture, we can decompose the incomplete tree wavelet structure of image, which will better describe the image texture in wavelet domain. In the naval battle, we must find out to launch weapon attack first, which needs the accuracy of automatic recognition of underwater target. Therefore, we need to improve the texture feature extraction and recognition of underwater target image. Firstly, this paper analyzes the image texture features and the algorithm of incomplete tree wavelet decomposition. Then, this paper demonstrates the texture feature extraction and recognition of underwater objects. Finally, some suggestions are put forward.